Internship Description :- The internship at PRODIGY INFOTECH offers an unparalleled opportunity to dive deep into the exciting field of machine learning. Interns are exposed to real-world projects and challenges, working closely with experienced mentors to develop their skills and contribute to impactful solutions.
Task Overview :- This repository contains a collection of machine learning tasks assigned during the internship at PRODIGY INFOTECH. Each task is designed to test and enhance interns' understanding of fundamental machine learning concepts and their ability to apply them to practical scenarios.
Task 1: House Price Prediction (Linear Regression) Objective: Predict house prices based on various features such as area, number of bedrooms, and bathrooms. Techniques Used: Linear Regression, Data Preprocessing, Model Evaluation.
Task 2: Customer Segmentation Objective: Segment customers based on their purchasing behavior to target marketing strategies effectively. Techniques Used: K-means Clustering, Data Visualization, Customer Profiling.
Task 3: Cat vs. Dog Classification Objective: Develop a machine learning model to classify images as either cats or dogs. Techniques Used: Convolutional Neural Networks (CNN), Image Preprocessing, Transfer Learning.
Task 4: Hand Gesture Recognition Objective: Recognize hand gestures from images to enable gesture-based interaction. Techniques Used: Deep Learning, Image Processing, Gesture Classification.
Task 5: Food Classification with Calories Objective: Classify food images and estimate their calorie content to enable dietary intake tracking. Techniques Used: Classification, Image Recognition, Calorie Estimation.