Mercedes-Benz-Greener-Manufacturing

This project is a part of Machine Learning Class for Data Science Master Program from Simplilearn

This project is done with guidance from:

https://github.com/subhadipml/Mercedes-Benz-Greener-Manufacturing

https://medium.com/swlh/greener-manufacturing-with-machine-learning-6ec77d0e7a91

Outline steps in this project are:

Import all the required libraries (some libraries may be imported later)
Load and prepare the data for analysis. This step include:

~ Check for null and unique values for test and train sets

~ Find and remove outliers from the datasets

~ Check variance from categorical variables

~ Remove variables with very little to zero variance

~ Apply label encoder
Perform dimensionality reduction
XGBoost Analysis:

~ Predict your test values using XGBoost

~ k-fold Cross Validation using XGBoost

~ Test data prediction using XGBoost