README.md

Intermediate_Class_Guide_Python

Walkthrough for the intermediate class of covenlabs bootcamps

Day 1 – The Fundamentals of Machine Learning

      Machine Learning Tasks

      Training and Test Data 

      Performance Measures, Bias and Variance 

      Statistics - Probability

      Maths - Linear Algebra 

      Introduction to scikit-learn and installation 

Day 2 – Supervised M.L - Regression

      Linear Regression 

      Simple and Multiple Linear Regression, Polynomial Regression 

      Regularization
      
      Statistics - Hypotheses and Inference
      
      Cost Function and Gradient Descent 

      Non-Linear regression with Decision Trees and Random Forests 

Day 3 – Supervised M.L - From Linear to Logistic Regression (Classification)

      The Logit Function 

      Binary classification 

      Multi-class classification problems 

      Non-Linear Classification with Decision Trees and Random Forests 

Day 4 – Unsupervised M.L - Clustering

      Clustering Intuition 

      Clustering with K-means 

      Project work Begins 

Day 5 – Capstone Project

      Students present capstone projects individually or as small units.