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Completed

Machine Learning

A comprehensive collection of machine learning projects demonstrating expertise in various ML algorithms and techniques. This portfolio showcases practical implementations of supervised learning, neural networks, clustering, and real-world applications including medical diagnosis, image processing, and predictive modeling.

Key Features

•PyTorch Fundamentals and Deep Learning
•Linear and Polynomial Regression Models
•Logistic Regression with Regularization
•Neural Network Implementation
•Decision Tree Classification
•K-Means Clustering for Image Compression
•Handwritten Digit Recognition (0-9)
•Breast Cancer Classification
•House Price Prediction
•Real-world ML Project Implementation Tips

Achievements

•Mastered core ML algorithms from fundamentals to advanced implementations
•Successfully implemented neural networks for digit recognition
•Applied ML to medical diagnosis (breast cancer classification)
•Developed image compression using unsupervised learning
•Created predictive models for real estate pricing
•Demonstrated expertise in both supervised and unsupervised learning
•Built comprehensive portfolio with 15+ ML projects
•Applied regularization techniques to prevent overfitting
•Implemented polynomial regression for complex data patterns
•Showcased practical ML applications in healthcare and finance

Project Info

Status:Completed

Type:Machine Learning

Category:Data Science

Created:8/12/2025

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