{"product_id":"professional-artificial-intelligence-ai-machine-learning-course-uk","title":"Machine Learning","description":"\u003cp dir=\"auto\" data-start=\"71\" data-end=\"420\" class=\"PDq2pG_selectionAnchorContainer\"\u003eBuild a strong foundation in \u003cstrong data-start=\"100\" data-end=\"125\"\u003eMachine Learning (ML)\u003c\/strong\u003e and learn how computers can identify patterns, learn from data, and make predictions without being explicitly programmed for every individual task. This course takes learners from the fundamentals of machine learning through practical model development, evaluation, and real-world applications.\u003cspan class=\"PDq2pG_selectionAnchor\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"auto\" data-start=\"422\" data-end=\"683\"\u003eStudents will learn how to prepare datasets, select appropriate machine learning algorithms, train and evaluate models, and understand how machine learning is applied across business, technology, finance, healthcare, marketing, automation, and other industries.\u003c\/p\u003e\n\u003ch3 data-section-id=\"bykqlh\" dir=\"auto\" data-start=\"685\" data-end=\"708\"\u003eWhat You Will Learn\u003c\/h3\u003e\n\u003cul data-start=\"710\" data-end=\"1624\"\u003e\n\u003cli data-section-id=\"1t0erwt\" data-start=\"710\" data-end=\"741\"\u003eMachine Learning fundamentals\u003c\/li\u003e\n\u003cli data-section-id=\"lxacnv\" data-start=\"742\" data-end=\"769\"\u003eTypes of Machine Learning\u003c\/li\u003e\n\u003cli data-section-id=\"1kclxlc\" data-start=\"770\" data-end=\"791\"\u003eSupervised Learning\u003c\/li\u003e\n\u003cli data-section-id=\"ikizij\" data-start=\"792\" data-end=\"815\"\u003eUnsupervised Learning\u003c\/li\u003e\n\u003cli data-section-id=\"1rrcpss\" data-start=\"816\" data-end=\"851\"\u003eSemi-supervised Learning concepts\u003c\/li\u003e\n\u003cli data-section-id=\"10wnv0b\" data-start=\"852\" data-end=\"875\"\u003eRegression algorithms\u003c\/li\u003e\n\u003cli data-section-id=\"4j2x5u\" data-start=\"876\" data-end=\"903\"\u003eClassification algorithms\u003c\/li\u003e\n\u003cli data-section-id=\"9n23gt\" data-start=\"904\" data-end=\"927\"\u003eClustering techniques\u003c\/li\u003e\n\u003cli data-section-id=\"cr6431\" data-start=\"928\" data-end=\"944\"\u003eDecision Trees\u003c\/li\u003e\n\u003cli data-section-id=\"dywkbu\" data-start=\"945\" data-end=\"960\"\u003eRandom Forest\u003c\/li\u003e\n\u003cli data-section-id=\"1a3atcl\" data-start=\"961\" data-end=\"982\"\u003eK-Nearest Neighbors\u003c\/li\u003e\n\u003cli data-section-id=\"9638bs\" data-start=\"983\" data-end=\"1008\"\u003eSupport Vector Machines\u003c\/li\u003e\n\u003cli data-section-id=\"ltow4x\" data-start=\"1009\" data-end=\"1022\"\u003eNaive Bayes\u003c\/li\u003e\n\u003cli data-section-id=\"5oj1g1\" data-start=\"1023\" data-end=\"1055\"\u003eLinear and Logistic Regression\u003c\/li\u003e\n\u003cli data-section-id=\"59elc5\" data-start=\"1056\" data-end=\"1077\"\u003eFeature engineering\u003c\/li\u003e\n\u003cli data-section-id=\"18h659w\" data-start=\"1078\" data-end=\"1098\"\u003eData preprocessing\u003c\/li\u003e\n\u003cli data-section-id=\"sgjq5b\" data-start=\"1099\" data-end=\"1139\"\u003eHandling missing and inconsistent data\u003c\/li\u003e\n\u003cli data-section-id=\"162m4fo\" data-start=\"1140\" data-end=\"1171\"\u003eTraining and testing datasets\u003c\/li\u003e\n\u003cli data-section-id=\"mzmpgx\" data-start=\"1172\" data-end=\"1205\"\u003eModel evaluation and validation\u003c\/li\u003e\n\u003cli data-section-id=\"37fci7\" data-start=\"1206\" data-end=\"1248\"\u003eAccuracy, precision, recall and F1-score\u003c\/li\u003e\n\u003cli data-section-id=\"1yv8r39\" data-start=\"1249\" data-end=\"1279\"\u003eOverfitting and underfitting\u003c\/li\u003e\n\u003cli data-section-id=\"o2k05s\" data-start=\"1280\" data-end=\"1298\"\u003eCross-validation\u003c\/li\u003e\n\u003cli data-section-id=\"1kg9rye\" data-start=\"1299\" data-end=\"1319\"\u003eModel optimization\u003c\/li\u003e\n\u003cli data-section-id=\"1vbzno8\" data-start=\"1320\" data-end=\"1343\"\u003eHyperparameter tuning\u003c\/li\u003e\n\u003cli data-section-id=\"97jeba\" data-start=\"1344\" data-end=\"1373\"\u003ePython for Machine Learning\u003c\/li\u003e\n\u003cli data-section-id=\"srpkld\" data-start=\"1374\" data-end=\"1405\"\u003eNumPy and Pandas fundamentals\u003c\/li\u003e\n\u003cli data-section-id=\"l1uupq\" data-start=\"1406\" data-end=\"1420\"\u003eScikit-learn\u003c\/li\u003e\n\u003cli data-section-id=\"n54308\" data-start=\"1421\" data-end=\"1448\"\u003eData visualization for ML\u003c\/li\u003e\n\u003cli data-section-id=\"1lfh8vk\" data-start=\"1449\" data-end=\"1479\"\u003eBuilding practical ML models\u003c\/li\u003e\n\u003cli data-section-id=\"1pk8ntr\" data-start=\"1480\" data-end=\"1513\"\u003eIntroduction to Neural Networks\u003c\/li\u003e\n\u003cli data-section-id=\"1au5yxr\" data-start=\"1514\" data-end=\"1549\"\u003eMachine Learning project workflow\u003c\/li\u003e\n\u003cli data-section-id=\"1iez4rl\" data-start=\"1550\" data-end=\"1584\"\u003eDeploying and applying ML models\u003c\/li\u003e\n\u003cli data-section-id=\"ksk6co\" data-start=\"1585\" data-end=\"1624\"\u003eReal-world Machine Learning use cases\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-section-id=\"ez8bwz\" dir=\"auto\" data-start=\"1626\" data-end=\"1648\"\u003ePractical Projects\u003c\/h3\u003e\n\u003cp dir=\"auto\" data-start=\"1650\" data-end=\"1698\"\u003eLearners can work on practical projects such as:\u003c\/p\u003e\n\u003cul data-start=\"1700\" data-end=\"1894\"\u003e\n\u003cli data-section-id=\"1772cij\" data-start=\"1700\" data-end=\"1727\"\u003eCustomer churn prediction\u003c\/li\u003e\n\u003cli data-section-id=\"30ma5w\" data-start=\"1728\" data-end=\"1752\"\u003eHouse price prediction\u003c\/li\u003e\n\u003cli data-section-id=\"ju3v17\" data-start=\"1753\" data-end=\"1772\"\u003eSales forecasting\u003c\/li\u003e\n\u003cli data-section-id=\"14y9jzm\" data-start=\"1773\" data-end=\"1796\"\u003eCustomer segmentation\u003c\/li\u003e\n\u003cli data-section-id=\"1b675go\" data-start=\"1797\" data-end=\"1813\"\u003eSpam detection\u003c\/li\u003e\n\u003cli data-section-id=\"gtpahj\" data-start=\"1814\" data-end=\"1838\"\u003eRecommendation systems\u003c\/li\u003e\n\u003cli data-section-id=\"xs3ug2\" data-start=\"1839\" data-end=\"1862\"\u003eClassification models\u003c\/li\u003e\n\u003cli data-section-id=\"5eah8f\" data-start=\"1863\" data-end=\"1894\"\u003ePredictive analytics projects\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-section-id=\"ndroi4\" dir=\"auto\" data-start=\"1896\" data-end=\"1912\"\u003eSuitable For\u003c\/h3\u003e\n\u003cp dir=\"auto\" data-start=\"1914\" data-end=\"2132\"\u003eThis course is suitable for \u003cstrong data-start=\"1942\" data-end=\"2132\"\u003estudents, aspiring Machine Learning Engineers, Data Scientists, Python developers, IT professionals, data analysts, and anyone interested in developing practical Machine Learning skills.\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch3 data-section-id=\"154utg1\" dir=\"auto\" data-start=\"2134\" data-end=\"2152\"\u003eCourse Outcome\u003c\/h3\u003e\n\u003cp dir=\"auto\" data-start=\"2154\" data-end=\"2386\" data-is-last-node=\"\" data-is-only-node=\"\"\u003eBy completing the course, learners will understand the complete basic Machine Learning workflow, from \u003cstrong data-start=\"2256\" data-end=\"2362\"\u003ecollecting and preparing data to training, evaluating, improving, and applying machine learning models\u003c\/strong\u003e to real-world problems.\u003c\/p\u003e","brand":"Growzenix Marketing","offers":[{"title":"Default Title","offer_id":50736119578861,"sku":null,"price":999.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0836\/5103\/5373\/files\/0e5ce5d3-d7e2-4dc1-a581-86304773711a.jpg?v=1790177116","url":"https:\/\/growzenix-digital.myshopify.com\/products\/professional-artificial-intelligence-ai-machine-learning-course-uk","provider":"Growzenix Marketing","version":"1.0","type":"link"}