Machine Learning
Work through data preparation, regression, classification, clustering, model evaluation and practical ML projects.
Explore notebooks ↗A focused space for learning by building
Understand the ideas.
Build the intuition.
A curated collection of notebooks and practical lessons across machine learning, deep learning and scikit-learn. Choose a path and explore the original material.
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Deep Learning
Explore tensors, neural networks, optimization, convolutional models, sequence learning and transformers.
Explore notebooks ↗scikit-learn
Learn estimators, preprocessing, pipelines, model selection, evaluation and reliable machine-learning workflows.
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