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  • Introduction to Machine Learning
  • Types of Machine Learning
  • Components of Python ML Ecosystem
  • Regression Analysis
  • Classification
  • Association Rule Learning
  • Recommender Systems

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Learn About:

  • Deep dive into the world of Machine Learning (ML)
  • Apply Python for Machine Learning programs
  • Understand what is ML, the need for ML, challenges & application of ML in real-life scenarios
  • Types of Machine Learning
  • Components of Python ML Ecosystem
  • Anaconda, Jupyter Notebook, NumPy, Pandas, Scikit-learn
    Regression analysis
  • Scikit-learn Library to implement Simple Linear Regression
  • Multiple Linear Regression and Polynomial Regression
    Logistic Regression

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