This repository showcases the work I completed during my machine learning internship. Each project in this collection is housed in its directory, complete with detailed Jupyter notebooks and a README for a comprehensive understanding of the methodologies and results.

1. Credit Scoring Model:

   • Located in /Credit_Scoring_Model
   • This project focuses on developing a predictive model to assess creditworthiness based on historical financial data. It utilizes various classification algorithms and includes an evaluation of the model's accuracy and performance.

2. Handwritten Character Recognition:

   • Located in /Handwritten_Character_Recognition
   • A deep learning project aimed at creating a recognition system capable of understanding handwritten characters and alphabets. This extends to recognizing entire words and sentences, demonstrating the robustness of the model against diverse handwriting styles.

3. Disease Prediction from Medical Data:

   • Located in /Disease_Prediction
   • This model predicts the likelihood of diseases based on medical data, such as symptoms and patient history. It processes labeled medical records with classification algorithms to forecast potential health risks.

• Data Preprocessing: Data cleansing, normalization, and transformation to prepare datasets for analysis.
• Model Development: Application of machine learning techniques such as SVM, Random Forest, and neural networks.
• Performance Evaluation: Use of metrics such as accuracy, precision, recall, and F1 score to assess model efficacy.
• Visualization: Creation of insightful plots and charts to represent data and results clearly.