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.
- Python for Machine Learning
- Supervised and Unsupervised Learning and Applications
- Advanced Learning Algorithms
- Advanced Learning Algorithms and End-to-end Machine Learning Problem
| Name | Github | ||
|---|---|---|---|
| Ezgi Sevi | ezgi.sevi16@gmail.com |  |
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| Müdafer Kaymak | mudaferkaymak@gmail.com | |
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| Melih Tuna İpek | melihtunaipek.mti@gmail.com | |
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| Emine Cansu Akgül | eminecansuakgul@gmail.com | |
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For any questions, feedback, or assistance, feel free to reach out to us:
- Email: skylabair@google.com
Here are some of the topics covered in our Machine Learning Introduction Academy:
- Introduction to Machine Learning
- Python Programming for ML
- Supervised Learning
- Unsupervised Learning
- Neural Networks and Advanced Learning Algorithms
- Model Evaluation and Metrics
- Real-world Applications of Machine Learning
- Clustering and Anomaly Detection
- 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!