https://github.com/muhammadadilnaeem/code-alpha-machine-learning-internship-projects

In this Repository I will upload source code of Machine Learning Projects That I will complete During my Code Alpha Internship.
https://github.com/muhammadadilnaeem/code-alpha-machine-learning-internship-projects

credit-risk credit-scoring disease-prediction emotion-recognition internship-task machine-learning python

Last synced: 7 months ago
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In this Repository I will upload source code of Machine Learning Projects That I will complete During my Code Alpha Internship.

• Host: GitHub
• URL: https://github.com/muhammadadilnaeem/code-alpha-machine-learning-internship-projects
• Owner: muhammadadilnaeem
• License: gpl-3.0
• Created: 2024-09-10T15:29:23.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-10-09T10:24:31.000Z (12 months ago)
• Last Synced: 2025-01-17T15:52:50.061Z (9 months ago)
• Topics: credit-risk, credit-scoring, disease-prediction, emotion-recognition, internship-task, machine-learning, python
• Language: Jupyter Notebook
• Homepage:
• Size: 22 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# **Code Alpha Machine Learning Internship Projects**

Welcome to my repository! In this repository, I will upload the source code of machine learning projects that I complete during my Code Alpha internship.

![CodeAlpha InfoTech Machine Learning Engineer Internship Letter Offer Letter](https://github.com/user-attachments/assets/3155bbd5-1f85-43a2-b5be-6b64668f8fac)

## **Projects Overview**

### **1. Credit Scoring Model**

This project focuses on developing a credit scoring model to evaluate the creditworthiness of applicants. It employs various machine learning algorithms to predict the likelihood of default based on historical data.

- [View Source Code](https://github.com/muhammadadilnaeem/Code-Alpha-Machine-Learning-Internship-Projects/tree/main/1.%20Credit%20Scoring%20Model)

### **2. Emotion Recognition From Speech**

In this project, I implemented a model to recognize emotions from speech audio. The aim is to classify emotions using features extracted from the audio signals, facilitating applications in customer service and mental health.

- [View Source Code](https://github.com/muhammadadilnaeem/Code-Alpha-Machine-Learning-Internship-Projects/tree/main/2.%20Emotion%20Recognition%20From%20Speech)

### **3. Disease Prediction From Medical Data**

This project involves predicting diseases based on medical data. By leveraging machine learning techniques, the model analyzes patient data to assist in early diagnosis and treatment recommendations.

- [View Source Code](https://github.com/muhammadadilnaeem/Code-Alpha-Machine-Learning-Internship-Projects/tree/main/3.%20Disease%20Predition%20From%20Medical%20Data)

## **Technologies Used**

- Python

- Jupyter Notebook

- Various machine learning libraries (e.g., scikit-learn, TensorFlow)

## **License**

This project is licensed under the **GPL-3.0 License.**

Feel free to explore the code and provide feedback!

![Machine Learning Internship](https://github.com/user-attachments/assets/ccb12e68-e37a-4c2b-b6bb-62a3c0c9bb7e)

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