This repository contains a collection of machine learning projects covering various domains. Below is a brief overview of the projects included:
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Calories Burnt Prediction: ๐โโ๏ธ๏ธ A model that predicts the number of calories burnt based on input parameters such as activity type, duration, and heart rate.
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Credit Card Fraud Prediction: ๐ณ๏ธ An algorithm designed to detect fraudulent transactions in credit card data, helping to minimize cardholder risks.
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Customer Segmentation: ๐๏ธ This project focuses on clustering and segmenting customers based on their purchasing behavior, enabling targeted marketing strategies.
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Movie Recommender System: ๐ฝ๏ธ A recommendation engine that suggests movies based on user preferences and historical data, providing personalized movie recommendations.
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Spam Mail Prediction: ๐ง๏ธ An advanced spam filtering model that classifies emails as spam or non-spam, helping users manage their inbox effectively.
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Titanic Survival Prediction: ๐ข๏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.