{"id":170373,"date":"2023-09-10T09:07:42","date_gmt":"2023-09-10T08:07:42","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=170373"},"modified":"2023-10-30T19:57:32","modified_gmt":"2023-10-30T18:57:32","slug":"machine-learning-python-where-to-start","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/machine-learning-python-where-to-start","title":{"rendered":"Mastering Machine Learning in Python: Data-Driven Success"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"170373\" class=\"elementor elementor-170373\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-dcf56b7 e-flex e-con-boxed e-con\" data-id=\"dcf56b7\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-8be87c7 e-con-full e-flex e-con\" data-id=\"8be87c7\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c5b011f elementor-widget elementor-widget-heading\" data-id=\"c5b011f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Machine Learning Python has emerged as the go-to language for Machine Learning in just a few years. Many of us eager to start coding in Python have also realized that learning a programming language and grasping Machine Learning concepts on our own isn't always straightforward.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-76ff1ff elementor-widget elementor-widget-text-editor\" data-id=\"76ff1ff\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">At DataScientest, we strive to boost every learning endeavor by providing all the available tips and guidance.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a49dba8 elementor-widget elementor-widget-text-editor\" data-id=\"a49dba8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>So, here are some tips to help you progress with confidence with Machine Learning Python:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2c9d797 elementor-widget elementor-widget-heading\" data-id=\"2c9d797\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Be open to relearning.<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-acc855b e-flex e-con-boxed e-con\" data-id=\"acc855b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-4e36d61c e-con-full e-flex e-con\" data-id=\"4e36d61c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2793c67b elementor-widget elementor-widget-image\" data-id=\"2793c67b\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"2560\" height=\"1828\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/09\/learn-again-scaled-1.jpg\" class=\"attachment-full size-full wp-image-170377\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/09\/learn-again-scaled-1.jpg 2560w, https:\/\/datascientest.com\/en\/files\/2023\/09\/learn-again-scaled-1-300x214.jpg 300w, https:\/\/datascientest.com\/en\/files\/2023\/09\/learn-again-scaled-1-1024x731.jpg 1024w, https:\/\/datascientest.com\/en\/files\/2023\/09\/learn-again-scaled-1-768x548.jpg 768w, https:\/\/datascientest.com\/en\/files\/2023\/09\/learn-again-scaled-1-1536x1097.jpg 1536w, https:\/\/datascientest.com\/en\/files\/2023\/09\/learn-again-scaled-1-2048x1462.jpg 2048w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2449109 e-flex e-con-boxed e-con\" data-id=\"2449109\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-5e6dc575 e-con-full e-flex e-con\" data-id=\"5e6dc575\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7ac8df28 elementor-widget elementor-widget-text-editor\" data-id=\"7ac8df28\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>If you decide to<strong> venture into Machine <a href=\"https:\/\/datascientest.com\/en\/python-programming-for-beginners-episode-3\">Learning Python<\/a><\/strong> and already have experience with languages like Matlab or C++, be prepared to start from scratch and modify your coding habits. This initial advice may seem basic, but for some, the feeling of going back to square one can be quite frustrating. Therefore, perseverance and continuous self-study will be essential for progress.<\/p><p>Whether you are experienced in coding or not, you may also struggle initially t<a href=\"https:\/\/datascientest.com\/en\/python-the-most-popular-programming-language\">o grasp Python&#8217;s logic and syntax.<\/a> However, by persevering in the beginning, you will quickly become proficient with Python. There is a wealth of documentation available on forums and various specialized websites to assist you.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6d91bdf9 elementor-widget elementor-widget-heading\" data-id=\"6d91bdf9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Machine Learning Python: There's nothing like hands-on experience<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7c8c919 elementor-widget elementor-widget-text-editor\" data-id=\"7c8c919\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>We can&#8217;t stress it enough, but your <a href=\"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose\">mastery of Python<\/a> and various machine learning algorithms will come from the diversity of projects you undertake. To progress quickly, you need to explore different branches of learning, including supervised, unsupervised, semi-supervised, and reinforcement learning. Each of these will introduce you to specific datasets that require precise transformations and methodologies.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-695f942b elementor-widget elementor-widget-text-editor\" data-id=\"695f942b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">It&#8217;s through experimentation that you&#8217;ll encounter various scenarios, allowing you to discover the nuances o<strong>f Python and Machine Learning algorithms.<\/strong><\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-41a6fea2 elementor-widget elementor-widget-heading\" data-id=\"41a6fea2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Find high-quality datasets<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2d7f21ce elementor-widget elementor-widget-text-editor\" data-id=\"2d7f21ce\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>One of the challenges when embarking on your<strong> Machine Learning journey<\/strong> is finding quality datasets to train with. You may spend a significant amount of time searching for them online.<\/p><p>However<a href=\"https:\/\/datascientest.com\/en\/kaggle-everything-you-need-to-know-about-this-platform\">, you can explore platforms like Kaggle<\/a> and UCI for relevant datasets. If you&#8217;re interested in working with financial data, such as stock prices, you can check out Yahoo Finance or Quandl. Scikit-Learn also provides datasets, including the well-known Iris Dataset. With Kaggle, you&#8217;ll even have the opportunity to participate in competitions, where you can test your skills against other seasoned Data Scientists.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-284696bd elementor-widget elementor-widget-heading\" data-id=\"284696bd\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Stay organized<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4ceb5ffc elementor-widget elementor-widget-text-editor\" data-id=\"4ceb5ffc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>To make significant progress without getting lost in the vast world of <strong>data science, it&#8217;s essential to set clear milestones:<\/strong><\/p><ul><li>Begin by thoroughly understanding the basics of tools (classes, functions, lists, operators).<\/li><li>Then, become familiar with DataFrames, widely used in data management.<\/li><li>Conclude by diving into models and evaluation metrics.<\/li><\/ul><p>\u00a0<\/p><p>View each stage as a small victory; setting regular goals will help you stay motivated and on track.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-287b7615 elementor-widget elementor-widget-image\" data-id=\"287b7615\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"2560\" height=\"1752\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/09\/victory-scaled-1.jpg\" class=\"attachment-full size-full wp-image-170378\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/09\/victory-scaled-1.jpg 2560w, https:\/\/datascientest.com\/en\/files\/2023\/09\/victory-scaled-1-300x205.jpg 300w, https:\/\/datascientest.com\/en\/files\/2023\/09\/victory-scaled-1-1024x701.jpg 1024w, https:\/\/datascientest.com\/en\/files\/2023\/09\/victory-scaled-1-768x526.jpg 768w, https:\/\/datascientest.com\/en\/files\/2023\/09\/victory-scaled-1-1536x1051.jpg 1536w, https:\/\/datascientest.com\/en\/files\/2023\/09\/victory-scaled-1-2048x1402.jpg 2048w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-63b25301 elementor-widget elementor-widget-heading\" data-id=\"63b25301\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Set clear milestones<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4d961150 elementor-widget elementor-widget-text-editor\" data-id=\"4d961150\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>As soon as you <a href=\"https:\/\/datascientest.com\/en\/django-all-about-the-python-web-development-framework\">start diving into Python<\/a>, you should adhere to strict discipline while coding and ensure attentiveness. This will help you avoid syntax errors that can occur easily and consume a lot of time. A valuable tip is to always organize, structure, and, most importantly, comment your code thoroughly to quickly identify potential errors.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-add2c22 e-flex e-con-boxed e-con\" data-id=\"add2c22\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-4d7c862 e-con-full e-flex e-con\" data-id=\"4d7c862\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-32dc55e elementor-widget elementor-widget-text-editor\" data-id=\"32dc55e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In this article, we&#8217;ve provided you with some tips to confidently begin your journey into data science.<\/p><p>However, to delve deeper, there&#8217;s nothing better than training with professionals, just like at DataScientest.<\/p><p>We&#8217;ll teach you the fundamentals of Python and offer customized programs that explore both Machine Learning and Deep Learning.<\/p><p>Don&#8217;t hesitate any longer\u2014contact us!<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ec1f48b elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"ec1f48b\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/appointment\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Book an appointment<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Machine Learning Python has emerged as the go-to language for Machine Learning in just a few years. Many of us eager to start coding in Python have also realized that learning a programming language and grasping Machine Learning concepts on our own isn&#8217;t always straightforward. At DataScientest, we strive to boost every learning endeavor by [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":170385,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Mastering Machine Learning in Python: Data-Driven Success<\/title>\n<meta name=\"description\" content=\"Discover the essential entry points to Machine Learning in Python. 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