#155 · Primary category: Education & Research

mlcourse.ai

algorithms data-analysis data-science docker ipynb kaggle-inclass machine-learning math matplotlib numpy pandas plotly python scikit-learn scipy seaborn vowpal-wabbit

Open Machine Learning Course

Project last updated:03/01/26

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Why we included this project

mlcourse.ai is a free, self-paced machine learning curriculum from OpenDataScience, written by Yury Kashnitsky, a Kaggle Competitions Master. It pairs lecture notes with math formulas against hands-on notebook assignments and Kaggle Inclass competitions, so you apply each technique as you learn it rather than just reading about it. The course takes you from basic Python and pandas through exploratory data analysis and feature engineering, then into classification, regression, and time series forecasting, and it is published as a Jupyter book that works well for independent study or as a syllabus for a workshop. The content is licensed under CC BY-NC-SA, so it is best for personal learning and non-commercial teaching, not for proprietary corporate training.

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