Introduction
  • Welcome
  • What is Data Science and Machine Learning?
Getting setup with Tools
  • Getting Started with Python and Scikit-Learn
  • Types of Machine learning algorithms
  • Playing Around with Anaconda and Jupyter
  • Playing with some Python Code
Getting Deeper into Machine learning frameworks and algorithms
  • Fitting a Machine Learning Model (KNN Algorithm) - Part 1
  • Fitting a Machine Learning Model (KNN Algorithm) Part 2
  • Fitting a Machine Learning Model (Logistic Regression Algorithm)
  • Validation using Model Selection (Train and Test)
  • Finalizing Your optimum algorithm (K-Fold Cross Validation)
  • Data Science - What's Next?