LeetCode Solutions Repository

Welcome to my LeetCode solutions repository! I am solving these to get better coding skills and prepare for CMU MSML program.

🎓 CMU MSML Preparation

⭐ NEW! Comprehensive preparation materials for Carnegie Mellon University's Master of Science in Machine Learning program.

• CMU MSML Prep - Complete learning path with:
  • Templates/ - Practice exercises with blank templates
  • 00_Skill_Exercises/ - Completed solutions for skill-building
  • 01_Foundations/ - Core ML concepts
  • 02_Course_Specific/ - Problems aligned with CMU courses
  • 03_Practice_Problems/ - Additional practice exercises
  • 04_Research_Alignment/ - Connections to CMU research areas

Quick Start: Begin with CMU_MSML_Prep/Templates/01_Core_Python/exercise_1_normalize_SIMPLE.py for the easiest introduction!

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📚 LeetCode Categories

• Arrays
• Strings
• Dynamic Programming
• Bit Manipulation
• Linked Lists
• Trees
• Graphs
• Others

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🤖 Machine Learning Solutions

• Deep-ML-Solutions - ML algorithms and patterns solved independently of LeetCode:
  • Linear Regression (Gradient Descent)
  • Activation Functions (ReLU, Softmax, Sigmoid)
  • Matrix Operations
  • Feature Scaling & Preprocessing
  • One-Hot Encoding
  • Evaluation Metrics
  • And more!

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📖 NeetCode 50 Introductions

• NeetCode 50 Introductions - Structured problem-solving practice:
  • Arrays & Hashing
  • Two Pointers
  • Sliding Window
  • And more categories...

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About

This repository is continuously updated as I solve more problems. Each solution is documented with an explanation and implemented in Python.

Repository Structure:

• LeetCode Problems - Traditional algorithm and data structure problems
• CMU MSML Prep - Structured preparation materials for graduate studies
• Deep ML Solutions - Machine learning fundamentals and implementations
• NeetCode 50 - Curated problem sets for systematic learning

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🚀 Getting Started

For LeetCode Practice:

1. Browse categories above
2. Review solutions with explanations
3. Try problems yourself before looking at solutions

For CMU MSML Prep:

1. Start with CMU_MSML_Prep/Templates/ for practice exercises
2. Compare with CMU_MSML_Prep/00_Skill_Exercises/ solutions
3. Review CMU_MSML_Prep/01_Foundations/ for core concepts
4. Follow the learning path in CMU_MSML_Prep/ENHANCED_WORKFLOW.md

For ML Fundamentals:

1. Explore Deep-ML-Solutions/ for ML algorithm implementations
2. Each solution includes detailed walkthroughs and examples
3. Connect concepts to CMU course materials

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Happy coding! 💻