Machine-Learning-Tutorials

This repo consists of the various practices and concepts that we come across in the domain of DS and ML.

Author: Piyush Kumar

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
Cross Validation.ipynb		Cross Validation.ipynb
Data Leakage.ipynb		Data Leakage.ipynb
Data Leakage.pdf		Data Leakage.pdf
Handling Categorical Values - Feature Engineering.ipynb		Handling Categorical Values - Feature Engineering.ipynb
Handling Categorical Values.pdf		Handling Categorical Values.pdf
Handling NaN - Feature Engineering.ipynb		Handling NaN - Feature Engineering.ipynb
Pipelines (How and why to use them).ipynb		Pipelines (How and why to use them).ipynb
Pipelines .ipynb		Pipelines .ipynb
README.md		README.md
XG Boost.pdf		XG Boost.pdf
XGBoost.ipynb		XGBoost.ipynb
xgb.png		xgb.png

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