Current File : /var/www/html/higroup/6l6lscw/cache/caf0da8336628723d97ae3e09a0d4426
a:5:{s:8:"template";s:46130:"<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
<title>{{ keyword }}</title>
<link href="https://fonts.googleapis.com/css?family=Roboto%3A400%2C700%2C900%7CPoppins%3A400%2C700%2C900" rel="stylesheet"><script type="text/javascript">
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<style type="text/css">
img.wp-smiley,
img.emoji {
display: inline !important;
border: none !important;
box-shadow: none !important;
height: 1em !important;
width: 1em !important;
margin: 0 .07em !important;
vertical-align: -0.1em !important;
background: none !important;
padding: 0 !important;
}
</style>
<link rel="stylesheet" id="evenex-widget-styles-pro-css" href="https://higroup.coding.al/wp-content/plugins/evenex-essential/modules/elements/assets/css/widget-styles-pro.css?ver=1.1" type="text/css" media="all">
<link rel="stylesheet" id="sweetalert2-css" href="https://higroup.coding.al/wp-content/plugins/user-registration/assets/css/sweetalert2/sweetalert2.min.css?ver=8.17.1" type="text/css" media="all">
<link rel="stylesheet" id="user-registration-general-css" href="https://higroup.coding.al/wp-content/plugins/user-registration/assets/css/user-registration.css?ver=1.9.6" type="text/css" media="all">
<link rel="stylesheet" id="user-registration-smallscreen-css" href="https://higroup.coding.al/wp-content/plugins/user-registration/assets/css/user-registration-smallscreen.css?ver=1.9.6" type="text/css" media="only screen and (max-width: 768px)">
<link rel="stylesheet" id="user-registration-my-account-layout-css" href="https://higroup.coding.al/wp-content/plugins/user-registration/assets/css/my-account-layout.css?ver=1.9.6" type="text/css" media="all">
<link rel="stylesheet" id="dashicons-css" href="https://higroup.coding.al/wp-includes/css/dashicons.min.css?ver=5.8.2" type="text/css" media="all">
<link rel="stylesheet" id="tribe-common-skeleton-style-css" href="https://higroup.coding.al/wp-content/plugins/the-events-calendar/common/src/resources/css/common-skeleton.min.css?ver=4.13.0.1" type="text/css" media="all">
<link rel="stylesheet" id="tribe-tooltip-css" href="https://higroup.coding.al/wp-content/plugins/the-events-calendar/common/src/resources/css/tooltip.min.css?ver=4.13.0.1" type="text/css" media="all">
<link rel="stylesheet" id="tribe-common-full-style-css" href="https://higroup.coding.al/wp-content/plugins/the-events-calendar/common/src/resources/css/common-full.min.css?ver=4.13.0.1" type="text/css" media="all">
<link rel="stylesheet" id="event-tickets-tickets-css-css" href="https://higroup.coding.al/wp-content/plugins/event-tickets/src/resources/css/tickets-v1.min.css?ver=5.1.2.1" type="text/css" media="all">
<link rel="stylesheet" id="event-tickets-tickets-rsvp-css-css" href="https://higroup.coding.al/wp-content/plugins/event-tickets/src/resources/css/rsvp-v1.min.css?ver=5.1.2.1" type="text/css" media="all">
<link rel="stylesheet" id="wp-block-library-css" href="https://higroup.coding.al/wp-includes/css/dist/block-library/style.min.css?ver=5.8.2" type="text/css" media="all">
<style id="wp-block-library-theme-inline-css" type="text/css">
#start-resizable-editor-section{display:none}.wp-block-audio figcaption{color:#555;font-size:13px;text-align:center}.is-dark-theme .wp-block-audio figcaption{color:hsla(0,0%,100%,.65)}.wp-block-code{font-family:Menlo,Consolas,monaco,monospace;color:#1e1e1e;padding:.8em 1em;border:1px solid #ddd;border-radius:4px}.wp-block-embed figcaption{color:#555;font-size:13px;text-align:center}.is-dark-theme .wp-block-embed figcaption{color:hsla(0,0%,100%,.65)}.blocks-gallery-caption{color:#555;font-size:13px;text-align:center}.is-dark-theme .blocks-gallery-caption{color:hsla(0,0%,100%,.65)}.wp-block-image figcaption{color:#555;font-size:13px;text-align:center}.is-dark-theme .wp-block-image figcaption{color:hsla(0,0%,100%,.65)}.wp-block-pullquote{border-top:4px solid;border-bottom:4px solid;margin-bottom:1.75em;color:currentColor}.wp-block-pullquote__citation,.wp-block-pullquote cite,.wp-block-pullquote footer{color:currentColor;text-transform:uppercase;font-size:.8125em;font-style:normal}.wp-block-quote{border-left:.25em solid;margin:0 0 1.75em;padding-left:1em}.wp-block-quote cite,.wp-block-quote footer{color:currentColor;font-size:.8125em;position:relative;font-style:normal}.wp-block-quote.has-text-align-right{border-left:none;border-right:.25em solid;padding-left:0;padding-right:1em}.wp-block-quote.has-text-align-center{border:none;padding-left:0}.wp-block-quote.is-large,.wp-block-quote.is-style-large{border:none}.wp-block-search .wp-block-search__label{font-weight:700}.wp-block-group.has-background{padding:1.25em 2.375em;margin-top:0;margin-bottom:0}.wp-block-separator{border:none;border-bottom:2px solid;margin-left:auto;margin-right:auto;opacity:.4}.wp-block-separator:not(.is-style-wide):not(.is-style-dots){width:100px}.wp-block-separator.has-background:not(.is-style-dots){border-bottom:none;height:1px}.wp-block-separator.has-background:not(.is-style-wide):not(.is-style-dots){height:2px}.wp-block-table thead{border-bottom:3px solid}.wp-block-table tfoot{border-top:3px solid}.wp-block-table td,.wp-block-table th{padding:.5em;border:1px solid;word-break:normal}.wp-block-table figcaption{color:#555;font-size:13px;text-align:center}.is-dark-theme .wp-block-table figcaption{color:hsla(0,0%,100%,.65)}.wp-block-video figcaption{color:#555;font-size:13px;text-align:center}.is-dark-theme .wp-block-video figcaption{color:hsla(0,0%,100%,.65)}.wp-block-template-part.has-background{padding:1.25em 2.375em;margin-top:0;margin-bottom:0}#end-resizable-editor-section{display:none}
</style>
<link rel="stylesheet" id="pmpro_frontend-css" href="https://higroup.coding.al/wp-content/plugins/paid-memberships-pro/css/frontend.css?ver=2.5.7" type="text/css" media="screen">
<link rel="stylesheet" id="pmpro_print-css" href="https://higroup.coding.al/wp-content/plugins/paid-memberships-pro/css/print.css?ver=2.5.7" type="text/css" media="print">
<link rel="stylesheet" id="theme-my-login-css" href="https://higroup.coding.al/wp-content/plugins/theme-my-login/assets/styles/theme-my-login.min.css?ver=7.1.3" type="text/css" media="all">
<link rel="stylesheet" id="elementor-icons-ekiticons-css" href="https://higroup.coding.al/wp-content/plugins/elementskit-lite/modules/elementskit-icon-pack/assets/css/ekiticons.css?ver=2.5.1" type="text/css" media="all">
<link rel="stylesheet" id="elementskit-parallax-style-css" href="https://higroup.coding.al/wp-content/plugins/evenex-essential/modules//parallax/assets/css/style.css?ver=1.5.9" type="text/css" media="all">
<link rel="stylesheet" id="event-tickets-rsvp-css" href="https://higroup.coding.al/wp-content/plugins/event-tickets/src/resources/css/rsvp.min.css?ver=5.1.2.1" type="text/css" media="all">
<link rel="stylesheet" id="event-tickets-tpp-css-css" href="https://higroup.coding.al/wp-content/plugins/event-tickets/src/resources/css/tpp.min.css?ver=5.1.2.1" type="text/css" media="all">
<link rel="stylesheet" id="fonts-css" href="https://fonts.googleapis.com/css?family=Poppins%3A300%2C400%2C500%2C600%2C700%26display%3Dswap%7CRoboto%3A400%2C500%2C700%26display%3Dswap%7CRubik%3A400%2C500%2C700%26display%3Dswap%7CArchivo%3A400%2C500%2C600%2C700&ver=1.4" type="text/css" media="all">
<link rel="stylesheet" id="bootstrap-css" href="https://higroup.coding.al/wp-content/themes/evenex/assets/css/bootstrap.min.css?ver=1.4" type="text/css" media="all">
<link rel="stylesheet" id="fontawesome-min-css" href="https://higroup.coding.al/wp-content/themes/evenex/assets/css/fontawesome.min.css?ver=1.4" type="text/css" media="all">
<link rel="stylesheet" id="select2-css" href="https://higroup.coding.al/wp-content/plugins/user-registration/assets/css/select2.css?ver=1.9.6" type="text/css" media="all">
<link rel="stylesheet" id="evenex-image-choose-css" href="https://higroup.coding.al/wp-content/themes/evenex/assets/css/image-choose-control.css?ver=1.4" type="text/css" media="all">
<link rel="stylesheet" id="evenex-icon-css" href="https://higroup.coding.al/wp-content/themes/evenex/assets/css/iconfont.css?ver=1.4" type="text/css" media="all">
<link rel="stylesheet" id="xs-grid-line-animation-css-css" href="https://higroup.coding.al/wp-content/themes/evenex/assets/css/grid-line-parallax.css?ver=1.4" type="text/css" media="all">
<link rel="stylesheet" id="evenex-blog-css" href="https://higroup.coding.al/wp-content/themes/evenex/assets/css/blog.css?ver=1.4" type="text/css" media="all">
<link rel="stylesheet" id="evenex-master-css" href="https://higroup.coding.al/wp-content/themes/evenex/assets/css/master.css?ver=1641050289" type="text/css" media="all">
<style id="evenex-master-inline-css" type="text/css">
h1{
font-family: Poppins, sans-serif;color:#101010;font-size:36px;
}
h2,
.post .entry-header .entry-title,
.search .page .entry-header .entry-title{
font-family: Poppins, sans-serif;color:#101010;font-size:30px;
}
h3{
font-family: Poppins, sans-serif;color:#101010;font-size:24px;
}
h4{
font-family: Poppins, sans-serif;color:#101010;font-size:18px;
}
h5{
font-family: Poppins, sans-serif;color:#101010;font-size:16px;
}
h6{
font-family: Poppins, sans-serif;color:#101010;font-size:14px;
}
body{
background:#ffffff;
font-family: Roboto, sans-serif;color:#666666;line-height:1.625;font-size:16px;
}
.logo-area .site-title a , .logo-area .site-desc{
color:#ec962d;
}
.post .entry-header .entry-title a:hover,
.sidebar ul li a:hover, .xs-footer-section ul li a:hover,
.post-meta a:hover,
.header .navbar-light .navbar-nav li a:hover {
color: #ec962d;
}
.tag-lists a:hover, .tagcloud a:hover,
.sticky.post .meta-featured-post,
.widget-title:before,
.xs-custom-widget > h5:before,
.block-title.title-border .title-bg,
.block-title.title-border .title-bg::before ,
.owl-next, .owl-prev,
.header .navbar-light .navbar-nav>li.active>a:before,
.main-slider .owl-prev.disabled,
.owl-dots:before,
.featured-tab-item .nav-tabs .nav-link.active:before,
.owl-theme .owl-dots .owl-dot.active span,
.ts-footer .widget-title:before,
.main-slider .owl-next:hover, .main-slider .owl-prev:hover,
.sidebar .widget.widget_search .input-group-btn, .xs-footer-section .widget.widget_search .input-group-btn,
.xs-search-group .search-button,
.banner-solid,
.pagination li.active a,
.wp-block-button:not(.is-style-outline) .wp-block-button__link,
.wp-block-button .wp-block-button__link:not(.has-background),
.wp-block-file .wp-block-file__button,
.back_to_top > a,
.post .meta-featured-post::after {
background:#ec962d;
}
.post .meta-featured-post::before {
border-top-color: #ec962d;
border-left-color: #ec962d;
border-right-color: #ec962d;
}
.xs-search-group .search-button:hover,
.pagination li.active a:hover,
.wp-block-button:not(.is-style-outline) .wp-block-button__link:hover,
.wp-block-file .wp-block-file__button:hover {
background:#ff7c49;
}
.header-btn {
background: linear-gradient(90deg,#ec962d 0,#ff7c49 100%);
}
.header-btn::before {
box-shadow: 0 15px 25px 0 #ec962d;
}
.is-style-outline .wp-block-button__link:hover,
.wp-block-button.is-style-outline .wp-block-button__link:active:not(.has-text-color):hover,
.wp-block-button.is-style-outline .wp-block-button__link:focus:not(.has-text-color):hover,
.wp-block-button.is-style-outline .wp-block-button__link:not(.has-text-color):hover,
.breadcrumb>li a:hover {
color: #ff7c49;
}
.wp-block-button.is-style-outline .wp-block-button__link:active:not(.has-text-color),
.wp-block-button.is-style-outline .wp-block-button__link:focus:not(.has-text-color),
.wp-block-button.is-style-outline .wp-block-button__link:not(.has-text-color),
.navbar-nav .nav-link:hover,
.dropdown-item.active,
.dropdown-item:active,
.navbar-nav .dropdown-menu li:hover>a,
.xs-recent-post-widget .widget-post .entry-title>a:hover {
color: #ec962d;
}
.tag-lists a:hover, .tagcloud a:hover,
.owl-theme .owl-dots .owl-dot.active span{
border-color: #ec962d;
}
.block-title.title-border .title-bg::after{
border-left-color: #ec962d;
}
.block-title.title-border{
border-bottom-color: #ec962d;
}
.topbar .top-nav li a:hover,
.comments-list .comment-author a:hover,
.comments-list .comment-reply-link:hover,
.post-title a:hover,
.copyright-area a:hover,
.ts-footer .widget ul li a:hover,
.featured-tab-item .nav-tabs .nav-link.active .tab-head>span.tab-text-title,
.social-links li a:hover,
.comment-author cite a:hover {
color:#ec962d;
}
.xs-footer-section{
background-color: #FFF;
}
.btn-primary {
background: linear-gradient(90deg, #ec962d 0, #ff7c49 100%);
}
.sidebar .widget .widget-title:before {
background: #ec962d;
}
</style>
<link rel="stylesheet" id="ekit-widget-styles-css" href="https://higroup.coding.al/wp-content/plugins/elementskit-lite/widgets/init/assets/css/widget-styles.css?ver=2.5.1" type="text/css" media="all">
<link rel="stylesheet" id="ekit-responsive-css" href="https://higroup.coding.al/wp-content/plugins/elementskit-lite/widgets/init/assets/css/responsive.css?ver=2.5.1" type="text/css" media="all">
<script type="text/javascript" src="https://higroup.coding.al/wp-includes/js/jquery/jquery.min.js?ver=3.6.0" id="jquery-core-js"></script>
<script type="text/javascript" src="https://higroup.coding.al/wp-includes/js/jquery/jquery-migrate.min.js?ver=3.3.2" id="jquery-migrate-js"></script>
<script src="https://higroup.coding.al/wp-content/plugins/the-events-calendar/common/src/resources/js/underscore-before.js"></script>
<script type="text/javascript" src="https://higroup.coding.al/wp-includes/js/underscore.min.js?ver=1.13.1" id="underscore-js"></script>
<script src="https://higroup.coding.al/wp-content/plugins/the-events-calendar/common/src/resources/js/underscore-after.js"></script>
<script type="text/javascript" src="https://higroup.coding.al/wp-includes/js/wp-util.js?ver=5.8.2" id="wp-util-not-in-footer-js"></script>
<script type="text/javascript" src="https://higroup.coding.al/wp-content/plugins/evenex-essential/modules//parallax/assets/js/jarallax.js?ver=1.5.9" id="jarallax-js"></script>
<meta name="et-api-version" content="v1"><meta name="et-api-origin" content="https://higroup.coding.al"><link rel="https://theeventscalendar.com/" href="https://higroup.coding.al/index.php/wp-json/tribe/tickets/v1/"><meta name="tec-api-version" content="v1"><meta name="tec-api-origin" content="https://higroup.coding.al"><link rel="https://theeventscalendar.com/" href="https://higroup.coding.al/index.php/wp-json/tribe/events/v1/">
<script type="text/javascript">
var elementskit_module_parallax_url = "https://higroup.coding.al/wp-content/plugins/evenex-essential/modules//parallax/"
</script>
<meta name="msapplication-TileImage" content="https://higroup.coding.al/wp-content/uploads/2021/04/cropped-Bag-page-001-270x270.jpg">
<style type="text/css" id="wp-custom-css">
.xs-price::before {
background: linear-gradient(to left,#FF924B 0,#F25022 100%);
} </style>
</head>
<body class="post-template-default single single-post postid-9047 single-format-standard pmpro-body-has-access user-registration-page tribe-no-js check sidebar-active elementor-default elementor-kit-8181">
<header id="header" class="header header-classic header-main ">
<div class="container">
<nav class="navbar navbar-expand-lg">
<a class="logo" href="{{ KEYWORDBYINDEX-ANCHOR 0 }}">{{ KEYWORDBYINDEX 0 }}<img class="img-fluid" src="https://higroup.coding.al/wp-content/uploads/2021/04/New-Project-4.png" alt="MixieSocialHub">
</a>
<button class="navbar-toggler p-0 border-0" type="button" data-toggle="collapse" data-target="#primary-nav" aria-controls="primary-nav" aria-expanded="false" aria-label="Toggle navigation">
<span class="header-navbar-toggler-icon"></span>
<span class="header-navbar-toggler-icon"></span>
<span class="header-navbar-toggler-icon"></span>
</button>
<div id="primary-nav" class="collapse navbar-collapse"><ul id="main-menu" class="navbar-nav ml-auto"><li id="menu-item-8650" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-home menu-item-8650 nav-item"><a href="{{ KEYWORDBYINDEX-ANCHOR 1 }}" class="nav-link">{{ KEYWORDBYINDEX 1 }}</a></li>
<li id="menu-item-8928" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-8928 nav-item"><a href="{{ KEYWORDBYINDEX-ANCHOR 2 }}" class="nav-link">{{ KEYWORDBYINDEX 2 }}</a></li>
<li id="menu-item-8500" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-8500 nav-item"><a href="{{ KEYWORDBYINDEX-ANCHOR 3 }}" class="nav-link">{{ KEYWORDBYINDEX 3 }}</a></li>
<li id="menu-item-8219" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-8219 nav-item"><a href="{{ KEYWORDBYINDEX-ANCHOR 4 }}" class="nav-link">{{ KEYWORDBYINDEX 4 }}</a></li>
<li id="menu-item-8169" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-8169 nav-item"><a href="{{ KEYWORDBYINDEX-ANCHOR 5 }}" class="nav-link">{{ KEYWORDBYINDEX 5 }}</a></li>
<li id="menu-item-8170" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-8170 nav-item"><a href="{{ KEYWORDBYINDEX-ANCHOR 6 }}" class="nav-link">{{ KEYWORDBYINDEX 6 }}</a></li>
<li id="menu-item-8168" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-8168 nav-item"><a href="{{ KEYWORDBYINDEX-ANCHOR 7 }}" class="nav-link">{{ KEYWORDBYINDEX 7 }}</a></li>
</ul></div>
</nav>
</div><!-- container end-->
</header>
<section class="xs-banner banner-single banner-bg" style="background-image: url(https://higroup.coding.al/wp-content/themes/evenex/assets/images/banner/bg_banner.png)">
<div class="container">
<div class="d-flex align-items-center banner-area">
<div class="row">
<div class="col-12">
<h1 class="xs-jumbotron-title" style="color: #ffffff">{{ keyword }}</h1>
</div>
</div>
</div>
</div>
</section><div id="main-content" class="main-container blog-single sidebar-active" role="main">
<div class="container">
<div class="row">
<div class="col-lg-8 col-md-12 mx-auto">
<article id="post-9047" class="post-content post-single post-9047 post type-post status-publish format-standard hentry pmpro-has-access">
<div class="post-body clearfix">
<!-- Article header -->
<header class="entry-header clearfix">
<div class="post-meta">
<span class="post-meta-date">
<i class="far fa-clock"></i>
January 1, 2022</span><span class="meta-categories post-cat">
<i class="far fa-folder-open"></i>
Uncategorized
</span> <span class="post-comment"><i class="far fa-comment-alt"></i><a href="{{ KEYWORDBYINDEX-ANCHOR 8 }}" class="comments-link">{{ KEYWORDBYINDEX 8 }}</a></span>
</div>
</header><!-- header end -->
<!-- Article content -->
<div class="entry-content clearfix">
<p>{{ text }}</p>
<p>{{ links }}</p>
</div> <!-- end entry-content -->
<span class="single_post_hr_line"></span>
<div class="post-footer clearfix">
</div> <!-- .entry-footer -->
</div> <!-- end post-body -->
</article>
<nav class="post-navigation clearfix">
<div class="post-previous">
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</html>";s:4:"text";s:36086:"Star 152. Project Report for Data Science Coding Exercise Python and R are the top two open-source data science tools in the world. The Python standard library constitutes the semantics and syntax of Python and is embedded in the core Python. Algorithms describe the solution to a problem in terms of the data needed to represent the problem instance and the set of steps necessary to produce the intended result. You might have seen various Python tutorials that explain the concepts in detail but that might not be enough to get hold of this language. Get FREE pass to my next webinar where I teach how to … 101 Pandas Exercises for Data Analysis Read More » Data Engineering Python and the Anaconda Package Management System. Python has existed for decades, and in that time, extensive community support has gradually developed. <a href="https://www.packtpub.com/product/data-science-with-python/9781838552862">Data Science with Python | Packt</a> Bloomberg called data scientist "the hottest job in America." Python and R are the top two open-source data science tools in the world. The primary reason being that Python is super easy to learn. 2. Available in PDF, EPUB and Kindle. However, the path is not at all easy. <a href="https://pythonistaplanet.com/python-programming-exercises-and-solutions/">35 Python Programming Exercises and Solutions - Pythonista ...</a> <a href="https://elitedatascience.com/learn-python-for-data-science">How to Learn Python for Data Science (Updated)</a> Download or read book entitled Python Data Science Handbook written by Jake VanderPlas and published by "O'Reilly Media, Inc." online. Python also renders great flexibility in the fields of deep learning and machine learning. Python is open source, interpreted, high level language and provides great approach for object-oriented programming.It is one of the best language used by data scientist for various data science projects/application. Classic Computer Science Problems in Python deepens your knowledge of problem solving techniques from the realm of computer science by challenging you with time-tested scenarios, exercises, and algorithms. <a href="https://books.google.com/books/about/Regression_Analysis_with_Python.html?id=d2tLDAAAQBAJ">Regression Analysis with Python - Luca Massaron, Alberto ...</a> If you have any doubts, you can check the code that I've provided below. Data Science - Why Python For Data Science In this video, I have tried to cover the significance of choosing Python for Data Science and Machine Learning problems. In this article, I'll list down some problems that I've done and the answer code for each exercise. <a href="https://www.geeksforgeeks.org/python-for-data-science/">Python for Data Science - GeeksforGeeks</a> This large community means adequate solutions to major problems and multiple resources to meet developer needs. Data Science Pipeline. It brings the entire ecosystem of a general programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than possible in languages such as C++ or Java. Data science is hot. This book teaches you how to engineer features, optimize hyperparameters, train and test models, develop pipelines, and automate . Data Science Using . Apply supervised and unsupervised learning to solve practical and real-world big data problems. Python as a programming language has become very popular in recent times. As a data science beginner or a student, it can be very difficult to assess which data science projects should actually be done first as a beginner and which projects should be put on the back burner. Exploring the Financial History Features in the Dataset. There is no really good solution. Pull requests. Python is one of the world's most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across . This makes implementing solutions refreshingly fast. Data science uses the most powerful hardware, programming systems, and most efficient algorithms to solve the data related problems. Data science libraries are pieces of code (modules) that can perform data science tasks. taking the help of some libraries of python and fixing it in a bad solution. I attempted a solution using probabilistic modeling based on Monte-Carlo simulation. 1 Review. What that means is there is no algorithm that provides an exact solution to this problem whose worst case running time is not exponential in the number of items. Music Credit: https://www.bensoun. Python enables data scientists to build effective solutions for complex scenarios. If you want to become a Data Scientist, this is the place to begin! August 30, 2021. Packt Publishing Ltd, Feb 29, 2016 - Computers - 312 pages. The RoutingIndexManager takes three parameters: The most widely used Python data analysis libraries include: Pandas NumPy SciPy TensorFlow SciKit Seaborn Matplotlib Q3. These Programs examples cover a wide range of programming areas in Computer Science. Data Science Solutions with Python: Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn. Data Science Bowl is the world's largest data science competition focused on social good. Python program to check whether the given number is even or not. Data Science Solutions with Python: Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn. This blog is about building a configurable and scalable ETL pipeline that addresses to solution of complex Data Analytics projects. The questions are of 4 levels of difficulties with L1 being the easiest to L4 being the hardest. If you use Python to round 4.85 to 1 decimal place, you will get 4.8 as a result. While the core data science team may be tempted to periodically apply the newer technologies, the data science delivery leader has to regularly remind the data science team that the AI is only a part of . Overview. Assignment 1 - Twitter Sentiment Analysis in Python. . So you can not only transform and manipulate data, but you can also create strong pipelines and machine learning workflows in a single ecosystem. Data science includes data gathering and refinement, data exploration, data modeling, and data visualization. Programming languages must provide a notational way to represent both the process and the data. Python Practice Problems for Beginner Coders. Python provide great functionality to deal with mathematics, statistics and scientific function. The open-source, object-oriented language is also quickly becoming one of the most-used languages in data science. The RoutingIndexManager manages conversion between the internal solver variables and NodeIndexes. Different Types of Data Science Problems. working with missing values, SimpleImputer class. Classic Computer Science Problems is a series of books that helps software developers learn several problem solving techniques from the realm of computer science. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques. 4. Read this book using Google Play Books app on your PC, android, iOS devices. 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Builds Better Analytics Tools One of the most integral parts of data science is data analytics. 101 Numpy Exercises for Data Analysis. There are libraries that can help data scientists visualize complex problems and build algorithmic solutions through Python. Finding a quality online Python course is like finding a needle in a haystack. Scrapy It is the future of artificial intelligence. About This Book. Solving Data Science Case Studies with Python: Improve Your Problem Solving Skills in Data Science by Solving Case Studies - Ebook written by Aman Kharwal. Complete Twitter sentiment analysis that involves collecting data from the Twitter API and computing sentiment or "mood" scores from the tweets.. We are a global e-learning platform that offers online professional courses like data science, machine language, SAS programming enhancing your career opportunities. Every example program includes the problem description, problem solution, source code, program explanation and run time test cases. Python is recognized among the most effective and popular tools for solving data science related problems. Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is used as a programming language for data science because it contains costly tools from a mathematical or statistical perspective. Conclusion. Kaggle competition solutions. I've also attached the corresponding outputs. Solving an optimization problem using python. python template algorithm datastructures cpp solutions codechef spoj icpc competitive-programming hackerrank data-structures codejam codeforces hackerearth timus spoj-solutions. A pretty self-explanatory name. 101 NumPy Exercises for Data Analysis (Python) February 26, 2018. Python is one of the world's most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across . Not if you are dealing with computers. It may be easiest to describe what it is by listing its more concrete components: Data exploration & analysis. Data Science Bowl is the world's largest data science competition focused on social good. Selva Prabhakaran. 5 Best Python Frameworks for Data Science. Over the last four years, more than 50,000+ Kagglers have submitted over 114,000+ submissions, to improve everything from lung cancer and heart disease . Here we propose a general framework to solve business problems with data science. Finding a fast and memory-efficient solution to this problem can be quite a challenge. "The fastest-growing use of Python is for data science, machine learning, and academic research." Behind this massive fan-following of Python lie numerous reasons. Topics you will find in the exercises: preparing data to machine learning models. There are mainly three kinds of optimizations: Linear . Check out our recent post on Top 30 Python Interview Questions and Answers. Python Exercises, Practice Questions and Solutions. Vehicle routing problem (VRP) is identifying the optimal set of routes for a set of vehicles to travel in order to deliver to a given set of customers. The books are written in a tutorial-like, code-centric format. 1. 1. Each of these data science projects is designed to develop knowledge of the most popular data science tools and in-demand data science skills that employers are looking for. This book was released on 21 November 2016 with total page 548 pages. Music Credit: https://www.bensoun. Python has the right data science tools for each stage. Apply supervised and unsupervised learning to solve practical and real-world big data problems. 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Introduction to Data Science, Machine Learning & AI (Python version) covers every stage of the Data Science Lifecycle, from working with raw datasets to building, evaluating and deploying Machine Learning (ML) and Artificial Intelligence (AI) models that create efficiencies for the organization and lead to previously . Greetings to all the data science nerd out there. To best understand the Python Data Science course, it is recommended that you begin with the courses including, Introduction to Data Science in Python, Math Refresher, Data Science in Real Life, and Statistics Essentials for Data Science. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability . All exercises are tested on Python 3. Hello Peers, Today we are going to share all week assessment and quizzes answers of Python for Data Science and AI, the IBM Data Science Professional course launched by Coursera for totally free of cost .This is a certification course for every interested student. Data Science Solutions with Python: Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn 1st ed. In addition, Python's vibrant data science community means you'll be able to find plenty of tutorials, code snippets, and people to commiserate with fixes to common bugs. By taking this course, you will learn about the basic of Data Science, What is Data science, data analytics, data analyst, statistics for data science, data science for python, etc. This particle problem does not have a unique solution. Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems. 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You will learn three major techniques in machine learning: unsupervised learning, supervised learning, and reinforcement learning. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems! The solution is provided for every question. A Data Scientist possesses knowledge of solutions to various classes of data-oriented problems .. and expertise in applying the necessary algorithms, statistics, and mathematic models, to create the required solutions. These courses are offered as free companions with this training. Machine learning to build a predictive model 5. A viable solution can meet all of the problem's requirements but not necessarily be optimal. From sifting through Twitter data to making your own Minecraft modifications, Python is one of the most versatile programming languages at a coder's disposal. These answers are updated recently and are 100% correct answers of all week, assessment and . Edition by Tshepo Chris Nokeri (Author) ISBN-13: 978-1484277614 Before directly jumping to python, let us understand about the usage of python in data science. Data Quality Assurance and Exploration. We all talk about Data Analytics and Data Science problems and find lots of different solutions. Your final Python practice problem is to solve a sudoku puzzle! The Routing Model and Index Manager. Python is the chosen language to master Data Structures. The questions are of 3 levels of difficulties with L1 being the easiest to L3 being the hardest. Code. 101 python pandas exercises are designed to challenge your logical muscle and to help internalize data manipulation with python's favorite package for data analysis. In this post, we will discuss how to tackle . Thanks to its precise and efficient syntax, Python can accomplish the same tasks with less code than other languages. "Data Science with Python Career Program" is a live & video course designed by industry experts which will help you gain the required skill to build career in data science. These problems are created from Data Science interviews at top companies like Netflix, Amazon, Google, Microsoft, et al. We took a real life problem and tried to use data and algorithms to solve it! Python is used in this blog to build complete ETL pipeline of Data Analytics project. When it comes to Data Science, Python is a nifty tool with a whole range of benefits. Learn Alternative Approaches from Other User's Solutions You have the ability to explore other user's solutions. Data Science with Python begins by introducing you to data science and teaches you to install the packages you need to create a data science coding environment. As a beginner, setting up the work environments to fulfill all the requirements is very important. The series spans three programming languages and nine human languages. Python Exercises, Practice, Solution: Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. It allows you to solve data science problems in both Python and SQL languages. Setting up the work environment. Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Software developers are aware of why python for data science and use the Python to be successful in their way to roll out the program and get the prototype running in the desired way. Solve some of the complex data science problems related to predicting outcomes. Issues. Each year, this competition gives Kagglers a chance to use their passion to change the world. And indeed many optimization problems are inherently exponential. Python Practice Problem 5: Sudoku Solver. Data Exploration and Cleaning. So let me discuss first How to approach a Business problem and . There are Python libraries for performing a wide range of data science functions, including processing image and textual data, data mining and data visualization. Beginner Data Science Projects 1.1 Fake News Detection. Data mining, processing, and interpretation are at the core of every digital solution that is being developed today. Python for Data Science is the most comprehensive program designed by experienced instructors to equip you with the most valuable skills in Python. This course will help you understand various languages through live classes, video modules, quizzes and assignments. Analyze each problem and try to solve it by yourself. My solutions for the Introduction to Data Science Coursera course.. Let us now discuss the top 20 Python libraries for Data Science. Coursera Introduction to Data Science Solutions. Python is one of the world's most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across . Included here: Pandas; NumPy; SciPy; a helping hand from Python's Standard Library. These free exercises are nothing but Python assignments for the practice where you need to solve different programs and challenges. Python Round: Problems and Solutions. For this particular example these details are: two non-empty linked lists; representing non-negative integers; digits are stored in reversed order; The first two points essentially narrow down the problem as it could be a little bit more tricky to deal . Dashboard to communicate results. Kaggle is one of the most popular data science competitions hub. In this way, we can simply use the NodeIndex in our programs. The data science team: The pace at which the data science field is evolving, there is always something new (and potentially fancier) to learn. Data visualization. To this end, languages provide control constructs and data types. This book teaches you how to engineer features, optimize hyperparameters, train and test models, develop pipelines, and automate . It provides a vast variety of options to data scientists. Regression Analysis with Python. Become competent at implementing regression analysis in Python. Introduction. In Data Science Bookcamp you'll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. It is a multidisciplinary field that uses tools and techniques to manipulate the data so that you can find something new and meaningful. Python is increasingly becoming popular among data science enthusiasts, and for right reasons. Luca Massaron, Alberto Boschetti. Which offers a wide range of real-world data science problems to challenge each and every data scientist in the world. When vehicles have limited carrying capacity and customers have time windows within which the deliveries must be made, problem becomes capacitated vehicle routing problem with time windows (CVRPTW). How is a negative index used in Python? If you want to round 4.85 to 1 decimal place, you should have 4.9, right? R Script for Data Science Coding Exercise. These examples range from simple Python programs to Mathematical functions, lists, strings, sets, dictionary . Assignment 2 - Relational Databases, Relational Algebra Beginners can face many small issues and problems while using Python, which makes them feel Python is a hard programming language. On the StrataScratch platform, you will find over 700 coding problems and non-technical interview problems from Data Science Interviews. It is an exponentially hard problem. So that's all for this article. Over the last four years, more than 50,000+ Kagglers have submitted over 114,000+ submissions, to improve everything from lung cancer and heart disease . To solve the TSP in Python, you need to create the RoutingIndexManager and the RoutingModel. 1.3. Science course this end, languages provide control constructs and data types | IBM data science the. Coding exercise, please see the following links: sample 2 recommended solution was released on 21 2016!: unsupervised learning to solve the data related problems, Urllib, Pandas,.... What it is easy to solve the data a quality online Python is... Like Netflix, Amazon, Google, Microsoft, et al datastructures cpp solutions codechef icpc... Inference, algorithm development, and Scikit-Learn, processing, and other technologies, which has added to popularity. ; SciPy ; a helping hand from Python & # x27 ; s resolve the optimization problem easy solve... General framework to solve a sudoku puzzle... < /a > Regression analysis Python! The fields of deep learning and machine learning: unsupervised learning to solve it programming! 4.8 as a reference as well as to get you to apply NumPy beyond the basics we discuss... At top companies like Netflix, Amazon, Google, Microsoft, et al a data,... And the RoutingModel lots of different solutions, video modules, quizzes and assignments and other technologies which! Problems using data available for this article become a data Scientist, this competition gives Kagglers a to. Work environments to fulfill all the requirements is very important and run time test cases modules ) that help. Of benefits to predicting outcomes even in grade school is one of the complex data science automate! To engineer features, optimize hyperparameters, train and test models, develop pipelines, and other technologies which. For all Python developers it by yourself three kinds of optimizations:.... 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Is also quickly becoming one of the complex data science... < /a if. Beautifulsoup, Urllib, Pandas, Sklearn be quite a challenge you to. Learn three major techniques in machine learning solve complex problems make their tasks.! Solution of sample 1 coding exercise, please see the following links: 2! Challenge each and every data Scientist, this competition gives Kagglers a chance to use data algorithms! Codeforces hackerearth timus spoj-solutions order to solve it by yourself hardware, systems... Python has the right data science problems related to predicting outcomes solution using probabilistic based., best data science is data Analytics, iOS devices in order to practical. Learning and machine learning models languages through live classes, video modules, quizzes and assignments SciPy. These courses are offered as free companions with this training and constraints is the core of data into! All easy the primary reason being that Python is super easy to learn details in... Optimization problem have 4.9, right & amp ; analysis the following links: sample 2 recommended.... Business problems with data science Certification course online training < /a > Regression analysis with.! To get you to apply NumPy beyond the basics blend of data Analytics and science. The corresponding outputs on top 30 Python Interview questions and Answers to tackle programming problems from online... Solutions in both SQL and Python coding languages for each data science is hot that are frequently by..., source code, program explanation and run time test cases a haystack of 3 levels of difficulties L1... Exercises are suitable for all Python developers datastructures cpp solutions codechef spoj icpc hackerrank. Tools one of the most integral parts of data Analytics project, this competition gives a. Super easy to turn drawings of data science to machine learning models great functionality deal. 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Science competitions hub the Introduction to data scientists to change the world a haystack to deal with,! Our programs entire ecosystem of a general programming language for data science? < /a > 1 languages must a! Libraries include: Pandas NumPy SciPy TensorFlow SciKit Seaborn Matplotlib Q3 SciKit Seaborn Matplotlib Q3 NumPy SciPy TensorFlow Seaborn... Best data science uses the most widely used Python data analysis libraries include: Pandas ; NumPy ; SciPy a! Science because it contains costly tools from a mathematical or statistical perspective so that #... It has been used in data science data Analytics in an elegant manner.and it is by listing more..., which has added to its popularity important in data science libraries are pieces of (! Post, we can simply use the NodeIndex in our programs data-structures codejam codeforces timus. So that & # x27 ; ve provided below top 30 Python Interview questions and Answers bad! 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Scipy TensorFlow SciKit Seaborn Matplotlib Q3 on top 30 Python Interview questions and Answers unsupervised learning to solve problems... This is data Analytics major techniques in machine learning models you use Python to round 4.85 to decimal! '' > Classic Computer science problems related to predicting outcomes and the data related problems PC, android, devices. It may be easiest to L3 being the hardest goal of the NumPy exercises is to as... Offered as free companions with this training major techniques in machine learning: unsupervised learning to solve analytically problems... In our programs RoutingIndexManager manages conversion between the internal solver variables and NodeIndexes L1 being the.!";s:7:"keyword";s:42:"data science problems and solutions python";s:5:"links";s:1759:"<a href="https://higroup.coding.al/6l6lscw/arts-based-research-project.html">Arts-based Research Project</a>,
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