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Introduction to Machine Learning with Python

80

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  • Supervised vs. unsupervised learning
  • Training and evaluating ML models
  • Data preprocessing and feature selection
  • Algorithms: Linear regression, KNN, Decision Trees
  • Using Python libraries: scikit-learn, pandas, matplotlib