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From data preprocessing to deep learning. Learn scikit-learn, TensorFlow, model evaluation, and real-world ML projects.
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Linear Regression
Logistic Regression and Classification
Decision Trees and Random Forests
Support Vector Machines
Clustering: K-Means and DBSCAN
Model Evaluation and Cross-Validation
Dimensionality Reduction: PCA
Neural Networks Introduction
End-to-End ML Project Pipeline
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