"Every great journey begins with a single line of code."
This repository is your companion on the challenging yet rewarding path to becoming a Data Scientist or ML Engineer. Think of it as your quest log, where each challenge conquered brings you closer to your dream role.
Your journey is divided into chapters, each designed to strengthen different aspects of your data science arsenal. Like any epic quest, you'll face increasingly challenging trials that transform you from an aspiring data scientist into a battle-tested professional.
- Basic Quest Line
- Python Fundamentals
- Data Structures (Lists, Dictionaries, Sets)
- Basic Algorithm Implementation
- SQL Adventures
- Basic to Advanced Queries
- Window Functions
- Data Manipulation
- The Data Structure Chronicles
- Arrays & Strings (Easy → Medium)
- Trees & Graphs (Focus on traversal problems)
- Dynamic Programming (Start with pattern recognition)
- ML-Specific Problems
- Matrix Operations
- Probability & Statistics
- Optimization Problems
- Business Problems Saga
- A/B Testing Analysis
- Customer Segmentation
- Churn Prediction
- Industry Case Studies
- Netflix Recommendation System
- Uber Pricing Strategy
- Airbnb Market Analysis
- System Design Quests
- Data Pipeline Architecture
- Scale & Performance Optimization
- Distributed Systems
- Tools of the Trade
- Apache Spark
- Docker & Kubernetes
- Cloud Platforms (AWS, GCP, Azure)
- Complete HackerRank Python & SQL Basic Badges
- Solve 50 Easy LeetCode Problems
- Complete 20 StrataScratch Easy Problems
- Study Basic System Design Concepts
- Earn HackerRank Gold Badges
- Tackle 100 Medium LeetCode Problems
- Master 50 StrataScratch Medium Problems
- Build 2-3 End-to-End ML Projects
- Conquer Hard Problems Across Platforms
- Specialize in System Design for ML
- Contribute to Open Source Projects
- Create Technical Blog Posts
def daily_practice():
# Morning: Warm-up
solve_leetcode_problem(difficulty='easy')
# Afternoon: Main Quest
tackle_stratascratch_challenge()
study_system_design()
# Evening: Review & Reflect
review_previous_solutions()
document_learnings()
Track your progress using this repository's issue templates:
- 📊 Problem Solving Stats
- 🎯 Weekly Goals
- 💡 Key Learnings
- 🚀 Project Milestones
- Create Pull Requests with your solutions
- Share your learning journey
- Help fellow questors
- Participate in weekly challenge discussions
- Cracking the Coding Interview
- Designing Data-Intensive Applications
- Machine Learning System Design Interview
- Clan ML Code
Remember, young data warrior, consistency is your most potent weapon. May your models be accurate and your code bug-free!
"The difference between a novice and a master is that a master has failed more times than a novice has tried."
⭐ Star this repository if it helped you on your quest! Together, we'll conquer the realm of Data Science and Machine Learning.