🚀 AI / ML Learning Hub with Python

"This repository helps you learn Python and build a strong foundation in AI and ML through hands-on projects. It is ideal for students, beginners starting a tech career, and professionals looking to switch domains or strengthen their skills with practical, real-world experience, guided examples and industry-relevant concepts."

📂 Repository Structure

📁 Python_CheatSheet

 ├── 📁 Beginner
 │    ├── Beginner-1.pdf
 │    └── Beginner-1.pdf
 │
 ├── 📁 Intermediate
 │    ├── Intermediate-1.pdf
 │    └── Intermediate-2.pdf
 │
 ├── 📁 SQL
 │    └── SQL.pdf
 │
 └── 📁 Tableau
      └── Tableau.pdf

📁 NumPy

 ├── 📁 Class-1
 │    ├── Food_Delivery_Data_Exploration_and_Analysis_1.ipynb
 │    ├── Hand-Notes.pdf
 │    └── PreReads-Food Delivery Data Exploration and analysis 1.pdf
 │
 ├── 📁 Class-2
 │    ├── Detailed-Notes.ipynb
 │    ├── Food_Delivery_Data_Exploration_and_Analysis_2.ipynb
 │    ├── Hand-Notes.pdf
 │    └── PreReads-Food Delivery Data Exploration and analysis 2.pdf
 │
 └── 📁 Class-3
      ├── Food_Delivery_Data_Exploration_and_Analysis_3.ipynb
      ├── Hand-Notes-Numpy_conclusion.pdf
      └── Pre-Read_ Food Delivery Data Exploration and analysis 3.pdf

📁 Pandas

 ├── 📁 Class-1
 │    ├── Food_Delivery_Data_Exploration_and_Analysis_1.ipynb
 │    ├── Hand-Notes.pdf
 │    └── PreReads-Food Delivery Data Exploration and analysis 1.pdf
 │
 ├── 📁 Class-2
 │    ├── Detailed-Notes.ipynb
 │    ├── Food_Delivery_Data_Exploration_and_Analysis_2.ipynb
 │    ├── Hand-Notes.pdf
 │    └── PreReads-Food Delivery Data Exploration and analysis 2.pdf
 │
 └── 📁 Class-3
      ├── Food_Delivery_Data_Exploration_and_Analysis_3.ipynb
      ├── Hand-Notes-Numpy_conclusion.pdf
      └── Pre-Read_ Food Delivery Data Exploration and analysis 3.pdf

👨‍💻 Author

Prince

DS/ML Engineer | Backend Experience | AWS | AI Enthusiast

Passionate about learning, building, and sharing knowledge that helps others grow in tech.

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• ⭐ Star the repo
• 🔁 Share it with others
• 🚀 Follow for future updates

Your support motivates continuous improvement!

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🚀 Future Additions (Stay Tuned)

• Hands-on Projects
• Interview Preparation
• ML Case Studies
• Python Practice Sets
• Deployment Guides

📌 This repository will keep evolving with more valuable content.

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⚡ Final Note

“Start where you are. Stay consistent. Growth will follow.”