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Introduction to Scikit-Learn

Overview

Skills Needed

Get started with Scikit-Learn for machine learning. Explore classification, regression, and basic model evaluation with Scikit-Learn.

  • Basic understanding of Python programming

Outline

  • Introduction to Scikit-Learn
  • Supervised Learning Algorithms
  • Unsupervised Learning Algorithms
  • Model Evaluation and Selection
  • Preprocessing and Feature Engineering
  • Pipelines in Scikit-Learn
  • Hyperparameter Tuning
  • Model Interpretation
  • Handling Imbalanced Datasets
  • Best Practices for Scikit-Learn Beginners
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