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οΏ½οΏ½# codealpha
Code Alpha Machine Learning Internship Portfolio
This repository contains machine learning projects developed during the Code Alpha internship program. It showcases various ML applications including credit scoring, computer vision, and healthcare prediction models.
π― About Code Alpha Internship
Code Alpha is a technology internship program focused on practical machine learning applications. This repository demonstrates proficiency in:
π Projects Overview
π¦ 1. Credit Scoring Model
Directory:
codealpha_Credit Scoring Model/A creditworthiness classification system that predicts loan default risk using machine learning models.
Key Features:
Technologies: Python, scikit-learn, pandas, matplotlib, seaborn
βοΈ 2. Handwritten Character Recognition
Directory:
codealpha_Handwritten Character Recognition/A deep learning system for recognizing handwritten digits and letters using Convolutional Neural Networks.
Key Features:
Technologies: Python, TensorFlow/Keras, scikit-learn, matplotlib, numpy
π₯ 3. Disease Prediction from Medical Data
Directory:
codealpha_Disease Prediction from Medical Data/A comprehensive medical diagnosis system that predicts multiple diseases using patient data.
Key Features:
Technologies: Python, scikit-learn, XGBoost, pandas, matplotlib, seaborn
π Quick Start
Prerequisites
Installation & Setup
Clone the repository:
git clone https://github.com/SWAPNILSHAW/codealpha.git cd codealphaSet up a virtual environment (recommended):
Install dependencies for each project:
πββοΈ Running the Projects
Credit Scoring Model
Handwritten Character Recognition
Disease Prediction
π Project Outputs
Each project generates comprehensive outputs:
models/directories for future useoutputs/π οΈ Technologies & Libraries
Core ML Libraries:
Data Science Stack:
Additional Tools:
π Skills Demonstrated
π Documentation
Each project includes detailed documentation:
π Learning Outcomes
This internship portfolio demonstrates:
π Contact & Portfolio
This repository serves as a comprehensive portfolio showcasing machine learning expertise developed during the Code Alpha internship program. Each project demonstrates different aspects of the ML pipeline and various problem-solving approaches.
For questions or collaboration opportunities, please refer to the repository owner's profile.
π License
This project portfolio is developed for internship and educational purposes as part of the Code Alpha program.