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Best machine learning courses

Machine learning courses teach algorithms that learn patterns from data: regression, classification, clustering, gradient boosting and model evaluation, usually in Python with scikit-learn. The courses below are the best-matching ones in this library, from first models to production, ranked by relevance.

Updated · 20 items · catalogs from Udemy, Coursera, O'Reilly and 365 Data Science

#CourseProviderPricingSkills covered
1Mastering Machine Learning from ScratchUdemyPaidmachine learning, supervised learning, linear regression, model evaluation, logistic regression
2500+ Machine Learning Interview Questions with Answers 2026UdemyPaidmachine learning, ai, data science, supervised learning, unsupervised learning
3Machine Learning FundamentalsUdemyPaidmachine learning, artificial intelligence, supervised learning, unsupervised learning, reinforcement learning
4Hands-On Machine Learning with Python: Real ProjectsUdemyPaidmachine learning, supervised learning, linear regression, logistic regression, unsupervised learning
5Machine Learning with Python: Hands-On Real-World ProjectsUdemyPaidmachine learning, numpy, pandas, matplotlib, scikit-learn
6Machine Learning Practice Tests with Answers (2025 Edition)UdemyPaidmachine learning, data science, supervised learning, linear regression, logistic regression
7Machine Learning A-Z™ with Python: Hands-On BootcampUdemyPaidmachine learning, ai, scikit-learn, supervised learning, unsupervised learning
8Learn Machine Learning Course with Python A to ZUdemyPaidmachine learning, artificial intelligence, tensorflow, scikit-learn, supervised learning
9Machine Learning Engineer Professional DiplomaUdemyPaidmachine learning, ai, statistics, linear regression, logistic regression
10All-in-One:Machine Learning,DL,NLP,AWS Deply [Hindi][Python]UdemyPaidmachine learning, nlp, natural language processing, deep learning, supervised learning
11Applied Machine Learning With PythonUdemyPaidmachine learning, data science, linear regression, random forest, logistic regression
12Python Machine Learning: From Beginner to ProUdemyPaidmachine learning, unsupervised learning, feature engineering, linear regression, logistic regression
13Complete Machine Learning with PythonUdemyPaidmachine learning, artificial intelligence, predictive modeling, data science, deep learning
14Machine Learning & Deep Learning with Python: with ProjectsUdemyPaidmachine learning, deep learning, artificial intelligence, ai, feature engineering
15Complete Machine Learning & Artificial Intelligence BootcampUdemyPaidmachine learning, artificial intelligence, ai, unsupervised learning, numpy
16Machine Learning with Agentic AI for begineersUdemyPaidmachine learning, agentic ai, ai, supervised learning, unsupervised learning
17Master Course : Fundamentals of Machine Learning (101 level)UdemyPaidmachine learning, artificial intelligence, supervised learning, unsupervised learning, model evaluation
18Mastering scikit-learn : Building Machine Learning ModelsUdemyPaidscikit-learn, machine learning, unsupervised learning, neural networks, model evaluation
19The Complete Machine Learning & Deep Learning BootcampUdemyPaidmachine learning, deep learning, sentiment analysis, scikit-learn, logistic regression
20Python Machine Learning & Data Science with Scikit-learnUdemyPaidmachine learning, data science, scikit-learn, ai, pandas

Frequently asked questions

Which platform has the most machine learning courses?

Among the 20 courses in this guide: Udemy (20). Every course page links to the provider, where the current price and enrollment terms are shown.

Are any of these machine learning courses free?

None of the 20 courses has a zero list price in the provider catalog. Coursera courses can often be audited at no cost, and O'Reilly and 365 Data Science are subscriptions.

How were these courses chosen?

From the 4,713 artificial intelligence and data science course pages in this library, selected by the relevance score that drives every page here. A course qualifies when its title or description names one of these skills: feature engineering, lightgbm, linear regression, logistic regression, machine learning, predictive modeling, random forest, reinforcement learning, scikit-learn, supervised learning, unsupervised learning, xgboost. Courses matching more of them rank first. Catalogs were downloaded on 2026-10-22.

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