Course curriculum

  • 1
    Fundamentals of Machine Learning
  • 2
    Data Preprocessing
  • 3
    Supervised Learning Regression
  • 4
    Unsupervised Learning
  • 5
    Classification
  • 6
    Feature Selection and Engineering
  • 7
    Reinforcement Learning
  • 8
    Deep Learning
  • 9
    Natural Language Processing
  • 10
    Time Series Forecasting
  • 11
    Deployment and Real-World Applications
  • 12
    Ethics and Bias in Machine Learning
  • 13
    Special topics in ML
  • 14
    Study Material
  • What is Machine Learning? Types Of Machine Learning Quiz
  • Importing Data Handling Quiz
  • Supervised Learning Regression Regression Decision Trees Regression Random Forests Quiz
  • Introduction to Unsupervised Learning Clustering: K-Means, Hierarchical Clustering Dimensionality Reduction Anomaly Detection Quiz
  • Classification Quiz
  • Feature Selection Techniques Quiz
  • Reinforcement Learning Quiz
  • Deep Learning Neural Network Quiz
  • Natural Language Processing part 1 Natural Language Processing part 2 Advanced topics in NLP Quiz
  • Time Series Forecasting Quiz
  • Deployment and Real-World Applications Quiz
  • Ethics and Bias in Machine Learning Quiz
  • Special topics in ML Quiz
  • Study Material