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Welcome to Machine Learning master. Check out the website here. This site hosts explanations of machine learning concepts with just enough math and code. To understand the concepts better, various Machine Learning, Deep Learning projects with their code & README files can be found in the projects section. Links to various learning resources can be found as well. Make use of the navigation and search bar to guide your way through the site. This is an ongoing project. If you want to contribute, check out the contribution guidelines regarding the same.

Contents

  1. What is Machine Learning?
  2. Types of Machine Learning
  3. Applications of Machine Learning
  4. Machine Learning Life Cycle
  5. Bias-Variance
  6. Understanding Gradient Descent
  7. Learning Curves
  8. Linear Regression
  9. Regualrization Models
  10. Linear Regression Assumptions
  11. Logistic Regression

MORE CONTENT COMING SOON!

Projects

  1. Machine Learning Projects
  2. Deep Learning Projects

Resources

Contribution Guidelines