Mudaferkaymak / AIR_Academy

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AIR Team 2023 Machine Learning Introduction Academy

Welcome to the AIR Team Machine Learning Introduction Academy! This repository serves as a central hub for guides, contact information, and topics covered in our Machine Learning Introduction Academy.

Table of Contents

1. Guides
2. Instructors
3. Contact Information
4. Topics

Guides

• Python for Machine Learning
• Supervised and Unsupervised Learning and Applications
• Advanced Learning Algorithms
• Advanced Learning Algorithms and End-to-end Machine Learning Problem

Instructors

Name	Email	Linkedin	Github
Ezgi Sevi	[e-mail]
Müdafer Kaymak	[e-mail]
Melih Tuna İpek	[e-mail]
Emine Cansu Akgül	[e-mail]

Contact Information

For any questions, feedback, or assistance, feel free to reach out to us:

• Email: [e-mail]

Topics

Here are some of the topics covered in our Machine Learning Introduction Academy:

1. Introduction to Machine Learning
2. Python Programming for ML
3. Supervised Learning
4. Unsupervised Learning
5. Neural Networks and Advanced Learning Algorithms
6. Model Evaluation and Metrics
7. Real-world Applications of Machine Learning
8. Clustering and Anomaly Detection
9. Spaceship Challenge on Kaggle

Feel free to explore the guides and reach out to the instructors if you have any questions or need further clarification.

Happy learning!