Novel Approach for Lithology Prediction from Well-Logging Data Using Machine Learning And Deep Learning Techniques

Notes:

The code is written based on python 3.
It is better than the mentioned packages for proper execution Use it in the requirements file (use venv and pip install -r requirements.txt).
XGBoost.ipynb only contains the XGBoost model.
Main.ipynb contains all models.
The Lithofacies_Classification folder contains the models and Functions used.

Name		Name	Last commit message	Last commit date
Latest commit History 96 Commits
Lithofacies_Classification		Lithofacies_Classification
figs		figs
README.md		README.md
XGBoost.ipynb		XGBoost.ipynb
__init__.py		__init__.py
main.ipynb		main.ipynb
requirements.txt		requirements.txt
setup.py		setup.py

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