Machine Learning Assignments (Spring 2025)

This summary provides an overview of the problem sets in the Machine-Learning-Assignments repository. Each section includes a brief analysis of the question and answer sets.

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Repository Structure:

📁 Machine-Learning-Assignments/
├── pset1/
│ ├── document.pdf
│ ├── sleep_health_and_student_performance_analysis.ipynb
│ └── sleep_health_and_student_performance_analysis.pdf
│
├── pset2/
│ ├── document.pdf
│ ├── ride_sharing_analysis.ipynb
│ └── ride_sharing_analysis.pdf
│
├── pset3/
│ ├── document.pdf
│ ├── student_placement_analysis.ipynb
│ └── student_placement_analysis.pdf
│
└── pset4/
└── (no content)

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🧠 Problem Set 1: Sleep Health and Student Performance Analysis

• Question Set: document.pdf
• Answer Set: Notebook | PDF

📝 Summary

This assignment explores the relationship between sleep health metrics and student academic performance.

Techniques Applied

• Exploratory Data Analysis
• Data Preprocessing
• Visualization

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🚗 Problem Set 2: Ride-Sharing Analysis

• Question Set: document.pdf
• Answer Set: Notebook | PDF

📝 Summary

This problem set focuses on analyzing ride-sharing service data.

Techniques Applied

• Regression (Linear, Polynomial, Regularization, Hyperparamter Tuning, etc.)
• Exploratory Data Analysis
• Data Preprocessing

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🎓 Problem Set 3: Student Placement Analysis

• Question Set: document.pdf
• Answer Set: Notebook | PDF

📝 Summary

This assignment examines factors influencing student placement outcomes.

Techniques Applied

• Classification (LDA, Naive Bayes)
• Exploratory Data Analysis
• Data Preprocessing

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📁 Problem Set 4

No deliverables available for this problem set. Placeholder for future assignments.