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Machine Learning Projects

This repository contains a collection of machine learning projects covering various domains. Below is a brief overview of the projects included:

  1. Calories Burnt Prediction: ๐Ÿƒโ€โ™€๏ธ๏ธ A model that predicts the number of calories burnt based on input parameters such as activity type, duration, and heart rate.

  2. Credit Card Fraud Prediction: ๐Ÿ’ณ๏ธ An algorithm designed to detect fraudulent transactions in credit card data, helping to minimize cardholder risks.

  3. Customer Segmentation: ๐Ÿ‘›๏ธ This project focuses on clustering and segmenting customers based on their purchasing behavior, enabling targeted marketing strategies.

  4. Movie Recommender System: ๐Ÿ“ฝ๏ธ A recommendation engine that suggests movies based on user preferences and historical data, providing personalized movie recommendations.

  5. Spam Mail Prediction: ๐Ÿ“ง๏ธ An advanced spam filtering model that classifies emails as spam or non-spam, helping users manage their inbox effectively.

  6. Titanic Survival Prediction: ๐Ÿšข๏ธ Using passenger data from the Titanic, this project predicts the likelihood of survival for individuals aboard the ill-fated ship.

Each project is implemented using various machine learning algorithms and techniques, emphasizing accuracy and practicality.

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