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docs/resources.md

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*Coming soon...*
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## <span style="color: #397DFF">Week 9: Classical ML</span>
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*Coming soon...*
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## <span style="color: #397DFF">Week 10: Deep Learning I</span>
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*Coming soon...*
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## <span style="color: #397DFF">Week 11: Deep Learning II</span>
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*Coming soon...*
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## <span style="color: #397DFF">Week 12: Introduction to MLE</span>
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*Coming soon...*
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*Coming soon...*

docs/syllabus.md

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4. Introduction to SWE
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5. Math for ML
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6. Classical ML
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7. Deep Learning
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8. Introduction to MLE
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## <span style="color: #397DFF">Course Outline</span>
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- **Weeks 1–4**: Welcome! and Introduction to Programming in Python, Data Structures, and Introduction to SWE
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- **Weeks 5–8**: Databases and Math for ML
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- **Weeks 9–12**: Classical ML, Deep Learning, and Introduction to MLE
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- **Weeks 9–12**: Classical ML
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## <span style="color: #397DFF">Homeworks</span>
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Throughout the course, we’ll be releasing homeworks that accompany lectures.
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⚠️ Failure to adhere to the above policies may impact your eligibility to become a **client developer** the following semester and attend **Codebase social events**.
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## <span style="color: #397DFF">Midterm</span>
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Before switching gears to the ML portion of the curriculum, you’ll take a **60-minute midterm**.
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- Mirrors lecture examples & homework problems
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- Not designed to trick you — just to help us see how to best support the class
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- Scores will not be scrutinized heavily
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- 🎉 Expect some festivities after the exam!
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## <span style="color: #397DFF">Final Project</span>
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You’ll complete a **final course project** in teams of **3–4 people** (with 1–2 client devs and 1–2 mentored devs).
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- **Showcase**: At Codebase’s banquet, where you’ll present everything you’ve learned ⭐⭐⭐

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