Data-Science

Code modules for solving Analytics problems

#Table Of Contents

1. Data

   1. Import from different sources

2. Data Exploration

   1. Univariate distributions
   2. Missing & Outlier Treatments
   3. Bivariate distributions
   4. Variable Transformation & Reduction

3. Algorithms - Classification

   1. Logistic Regression
   2. Naive Bayes Classifier
   3. Chaid / Cart
   4. Decision tree & Random Forest
   5. SVM
   6. Gradient Boosting & XG boost
   7. ANN

4. Model Diagnostics - Classification

   1. Confusion Matrix
   2. Lift Chart
   3. ROC Curve
   4. Precision vs Recall Graph
   5. Sensitivity vs Specificity Graph

5. Validation Techniques

   1. Split
   2. Bootstrap
   3. K-fold Cross Validation
   4. Repeated k-fold Cross Validation
   5. Leave One Out Cross Validation
   6. Leave Group Out Cross Validation