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Open Source Machine Learning - OpenDataScience

An open ML course balancing theory and practice: exploratory analysis, feature engineering, supervised/unsupervised models, ensembles, and time series. Kaggle-style assignments and Jupyter notebooks foster hands-on skills in heterogeneous data (text/images/geo).

📚 30+ lessons with videos, articles, and Kaggle tasks
⏰ Duration: 6 months
🏃‍♂️ Self Paced
Created by 👨‍🏫: OpenDataScience (Yury Kashnitsky)
🔗 Course Link
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