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Week - 1 |
Introduction to Machine Learning Fundamentals |
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Week - 2 |
Data Preprocessing Techniques and Feature |
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Week - 3 |
Supervised Learning: Regression Techniques |
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Week - 4 |
Supervised Learning: Classification Methods |
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Week - 5 |
Unsupervised Learning: Clustering Approaches |
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Week - 6 |
Unsupervised Learning: Dimensionality Reduction Methods |
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Week - 7 |
Model Evaluation and Selection Metrics |
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Week - 8 |
Introduction to Deep Learning Concepts |
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Week - 9 |
Case Studies: Applying Machine Learning in Real-World Scenarios |
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Week - 10 |
Practical Applications: Implementation of Machine Learning Models |
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Week - 11 |
Advanced Applications of Machine Learning |
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Week - 12 |
Exploring Machine Learning in Industry and Research |
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Week - 13 |
Challenges and Ethics in Machine Learning |
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Week - 14 |
Project review and evaluation |
Eskisehir Technical University Info Package