Apply and Implement Dozens of Advanced Statistical, Probabilistic, Deterministic, and Decision Based Machine Learning Models to Perform Predictive Analytics.
- Introduction to Statistical Modelling
- Introduction to Tree Based Models
- Introduction to Boosting Models and Ensembles
- Handling Imbalanced Datasets
Learn Clustering Analysis, Dimensionality Reduction Methods, Recommendation Engines, and Time series Forecasting Techniques to solve Interesting Problems.
- Introduction to Clustering Analysis
- Introduction to Dimensionality Reduction
- Introduction to Recommendation Engines
- Introduction to Time Series Forecasting
Employee Promotion Prediction: Predict whether the employee deserves Promotion based on different attributes like Age, Training Score, Region, Department, Awards, KPIs, etc. by using the Advanced Predictive Modelling Techniques learnt in this Module.