Machine_Learning

A collection of machine learning projects covering predictive modeling, classification, clustering, and NLP. Each project includes detailed analysis, feature engineering, and model evaluation. Some projects also have interactive Streamlit apps for real-time insights! 🚀

Project Index

Project Name	Description	Link to Project	App Link
Concrete Strength Predictor	Predicting the strength of concrete based on its components.	Click Here	N/A
Understanding Customer Churn	Analyzing factors influencing customer retention and churn.	Click Here	N/A
Big Mart Sales Prediction	Forecasting sales for a retail store based on historical data.	Click Here	N/A
Hotel INN Cancellation Prediction	Predicting hotel booking cancellations.	Click Here	Click Here
Country Segmentation for NGO	Clustering countries based on socio-economic factors for NGO decision-making.	Click Here	Click Here
Body Fitness Classification	Classifying fitness levels based on daily habits and body features.	Click Here	Click Here
Twitter Sentiment Analysis	Analyzing sentiment in tweets using NLP techniques.	Click Here	N/A
Wine Quality Analysis and Prediction	Predicting wine quality based on chemical properties.	Click Here	N/A
Wine Data Clustering	Clustering the wine data to understand the pattern in the various qualities of the wine using Un-supervised learning.	Click_Here	N/A

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How to Use

1. Clone the repository:

   git clone https://github.com/Shubham-S151/Machine_Learning.git