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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

   End-to-end ML Pipeline using Logistic Regression, Random Forest, XGBoost and LGBM to predict client churn probability

   Jupyter Notebook

3. electricity_demand_forecasting_pipeline electricity_demand_forecasting_pipeline Public

   End-to-end electricity consumption forecasting project using Python, XGBoost, and time series feature engineering. Includes exploratory data analysis, seasonal trend detection, lag-based feature cr…

4. 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

5. ELT_Pipeline_With_SnowFlake_and_DBT ELT_Pipeline_With_SnowFlake_and_DBT Public

   An End-to-End ELT Pipeline using Python, Snowflake, dbt and Airflow on Bike-Sharing and Weather Data in Paris / Île-de-France

   Python

6. Affinity_Score_with_SAS_and_Python Affinity_Score_with_SAS_and_Python Public

   Building a score for customers and deploying it on a Streamlit App

   SAS