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1. Cars_Pricing Cars_Pricing Public

   Using Random Forest Regressor to predict car prices for differents cities in India

   Jupyter Notebook

2. Customer_Churn_prediction Customer_Churn_prediction Public

   Using Logistic Regression, Random Forest, XGBoost and LGBM to predict client churn probability

   Jupyter Notebook

3. Affinity_Score_with_SAS_and_Python Affinity_Score_with_SAS_and_Python Public

   Build a score for customers an deploy on a Streamlit App

   SAS

4. Customer_IT_Support Customer_IT_Support Public

   Analyze IT support tickets using LLMs from Hugging Face and PyTorch

   Jupyter Notebook

5. Data_Analysis_and_ML_with_PySpark Data_Analysis_and_ML_with_PySpark Public

   Performing data analysis, visualizations, and machine learning using PySpark on the Titanic dataset.

   Jupyter Notebook

6. RAG_based_Policy_Chatbot RAG_based_Policy_Chatbot Public

   A Retrieval-Augmented Generation (RAG) chatbot designed to answer customer questions based on company policies. Built with LangChain, vector search, and Llama3.

   Jupyter Notebook