24 lines
803 B
Markdown
24 lines
803 B
Markdown
# Course Overview
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This course covers the fundamentals of machine learning, including supervised and unsupervised learning, neural networks, and reinforcement learning. The course is divided into 12 lectures, each lasting 90 minutes.
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## Assignment 1
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The first assignment is due on **August 31, 2026**. It requires you to implement a simple linear regression model and evaluate its performance.
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## Lecture Schedule
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| Lecture | Topic |
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| 1 | Introduction to ML |
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| 2 | Data Preprocessing |
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| 3 | Linear Regression |
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| 4 | Logistic Regression |
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| 5 | Decision Trees |
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| 6 | Random Forests |
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| 7 | Support Vector Machines |
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| 8 | Neural Networks |
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| 9 | Convolutional Neural Networks |
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| 10 | Recurrent Neural Networks |
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| 11 | Reinforcement Learning |
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| 12 | Project Presentations | |