Machine Learning with Python | Free Machine Learning Course

Machine Learning with Python | This Machine Learning with Python course dives into the basics of Machine Learning using Python, an approachable and well-known programming language. You’ll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each. Look at real-life examples of Machine Learning and how it affects society in ways you may not have guessed

Explore many algorithms and models:

  • Popular algorithms: Classification, Regression, Clustering, and Dimensional Reduction.
  • Popular models: Train/Test Split, Root Mean Squared Error, and Random Forests.


Module 1:

  • Introduction to Machine Learning
  • Applications of Machine Learning
  • Supervised vs Unsupervised Learning
  • Python libraries suitable for Machine Learning

Module 2:

  • Regression
  • Linear Regression
  • Non-linear Regression
  • Model evaluation methods

Module 3:

  • Classification
  • K-Nearest Neighbour
  • Decision Trees
  • Logistic Regression
  • Support Vector Machines
  • Model Evaluation

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Module 4:

  • Unsupervised Learning
  • K-Means Clustering
  • Hierarchical Clustering
  • Density-Based Clustering

Module 5:

  • Recommender Systems
  • Content-based recommender systems
  • Collaborative Filtering

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