Skip to content

README.md

Latest commit

 

History

History
25 lines (19 loc) · 3.38 KB

README.md

File metadata and controls

25 lines (19 loc) · 3.38 KB

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

How to Use

  1. Clone the repository: 
    git clone https://github.com/Shubham-S151/Machine_Learning.git