Skip to content

allen745/CodeAlpha_MachineLearning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 

Repository files navigation

CodeAlpha_MachineLearning

CodeAlpha Machine Learning Internship

This repository contains all the tasks completed during the Machine Learning Internship offered by CodeAlpha. The projects are built using Python and focus on real-world ML applications, model building, data preprocessing, and practical AI development.

📌 Internship Details

  • Domain: Machine Learning
  • Organization: CodeAlpha
  • Student ID: CA/DF1/110227
  • Mode: Virtual Internship
  • Duration: 1st June 2026 – 30th June 2026
  • Repository Name: CodeAlpha_MachineLearning

📂 Projects Included

1. Credit Scoring Model

A machine learning model to predict an individual's creditworthiness using past financial data.

Features:

  • Feature engineering from financial history
  • Classification using Logistic Regression, Decision Trees, Random Forest
  • Model evaluation using Precision, Recall, F1-Score, ROC-AUC
  • Dataset includes income, debts, payment history

2. Handwritten Character Recognition

A deep learning model to identify handwritten characters and digits using image processing.

Features:

  • Dataset: MNIST (digits) / EMNIST (characters)
  • Model: Convolutional Neural Networks (CNN)
  • Image preprocessing and augmentation
  • High accuracy character classification

3. Disease Prediction from Medical Data

A machine learning model to predict the possibility of diseases based on patient data.

Features:

  • Uses symptoms, age, blood test results as features
  • Algorithms: SVM, Logistic Regression, Random Forest, XGBoost
  • Datasets: Heart Disease, Diabetes, Breast Cancer (UCI ML Repository)
  • Performance metrics and model comparison

🛠️ Technologies Used

  • Python
  • Scikit-learn
  • TensorFlow / Keras
  • Pandas & NumPy
  • Matplotlib & Seaborn
  • Jupyter Notebook
  • Git & GitHub

🎯 Learning Outcomes

Through these projects, I improved my:

  • Machine Learning model building skills
  • Data preprocessing and feature engineering
  • Deep learning with CNNs
  • Model evaluation and optimization
  • Real-world dataset handling
  • GitHub project management

📬 Contact

Allen Stivanson Christian Engineering Student – Artificial Intelligence & Data Science | Patent Holder

MADE FOR CODEALPHA: https://www.linkedin.com/company/codealpha-/


⭐ Thank you for visiting this repository!

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages