Understanding the problem statement

Importing a training dataset and testing from AWS

Installing necessary libraries and understanding its use

What is churning

Logistic regression, Random Forest, Decision Trees, Neural Network, and SVM

Terminology associated with Decision Tree and Random forest

How to decide to create a split in a decision tree

GINI Index, Chi-Square, Entropy and Variance

Feature engineering

Visualizing variables by density plot

Transforming features into binary variables

Gini coefficient and how to adjust gini weights for better results

Applying Logistic Regression

Using the ROC curve to visualize the efficiency of the model

Applying ensemble model Random Forest Classifier

Applying boosting model Gradient Boosting Classifier

Selecting the best model for final predictions

4-Oct-2016

01h 30m

5-Oct-2016

02h 47m