CodeAlpha Projects Repository

This repository contains three projects completed as part of the CodeAlpha program. These projects cover diverse areas in machine learning and data science:

1. Credit Scoring Model

• Description: This project focuses on developing a machine learning model to predict credit scores based on various financial attributes.
• Technologies: Python, Scikit-learn, Pandas, NumPy
• Files: Bank_Credit_Scoring_Model.py, data.excel

2. Handwritten Character Recognition

• Description: An image recognition project aiming to classify handwritten characters using deep learning techniques.
• Technologies: Python, TensorFlow, Keras, OpenCV
• Files: handwritten_character_recognition.ipynb, dataset

3. Disease Prediction from Medical Data

• Description: Utilizing medical data to predict the likelihood of specific diseases using machine learning algorithms.
• Technologies: Python, Scikit-learn, Pandas, Matplotlib
• Files: disease_prediction.ipynb, medical_data.csv

About

I'm incredibly grateful to CodeAlpha for providing this opportunity to work on diverse and challenging projects. Each task has been a tremendous learning experience, allowing me to enhance my skills in machine learning, data analysis, and model development.

I've gained invaluable insights and knowledge through these projects, and I'm excited to continue exploring and growing in the field of data science and AI.

Acknowledgment

I extend my heartfelt thanks to CodeAlpha for their guidance, support, and the chance to work on these enriching projects. It's been an incredible journey of learning and skill development.