Python ML & Bootcamp: 30 Hours of Learning

Table of contents

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  • Introduction to Supervised Learning

  • Linear Regression

  • Decision Trees and Random Forests

  • Introduction to Unsupervised Learning

  • Clustering Techniques

  • Dimensionality Reduction

  • Understanding Model Evaluation Metrics

  • Cross-Validation Techniques

  • Hyperparameter Tuning

  • Ensemble Methods

  • Deep Learning Basics

  • Implementing a Deep Learning Model

  • Machine Learning in Industry

  • Building a Complete Machine Learning Project

  • Ethics in Machine Learning

Setting Up the Python Environment