Understand Machine Learning through practice
Explore data, frame a problem, build a model and, above all, learn to interpret what it measures and its limitations.
Blockchain Fraud Detection
Build a detection pipeline combining transaction data, graphs and classification
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Netflix Analysis
Learn to clean, visualize and interpret a catalog of 8,807 titles
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Pokémon Classification
Discover the full reasoning behind supervised classification using Pokémon statistics
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Social Media & Mental Health
Compare classification and regression using digital-habit and wellbeing data
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