ida-code88/mercedes-benz-greener-manufacturing

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

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:

1. Import all the required libraries (some libraries may be imported later)

2. 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

3. Perform dimensionality reduction

4. XGBoost Analysis:

   ~ Predict your test values using XGBoost

   ~ k-fold Cross Validation using XGBoost

   ~ Test data prediction using XGBoost