This repository contains all the submitted patch files of the various tasks assigned by Prodigy InfoTech Machine Learning Internship
1. Implement a linear regression model to predict the prices of houses based on their square footage and the number of bedrooms and bathrooms.
2. Create a K-means clustering algorithm to group customers of a retail store based on their purchase history.
3. Implement a support vector machine (SVM) to classify images of cats and dogs from the Kaggle dataset.
4. Develop a hand gesture recognition model that can accurately identify and classify different hand gestures from image or video data, enabling intuitive human-computer interaction and gesture based control systems.
5. Develop a model that can accurately recognize food items from images and estimate their calorie content, enabling users to track their dietary intake and make informed food choices.
