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Python, SQL & Machine Learning Scripts Repository 🚀

Welcome to the Python, SQL & Machine Learning Scripts Repository!
This repository contains a comprehensive collection of Python, SQL, and Machine Learning scripts, ranging from beginner to advanced levels. Whether you're a student, educator, or developer looking to learn, teach, or reference key programming and data science concepts, you'll find helpful and structured code examples here.

📂 Repository Structure

  • python/: Python scripts categorized by difficulty level.
  • sql/: SQL scripts for various use cases, also categorized by level.
  • ml/: Machine Learning algorithms and projects.

🐍 python

Each level contains standalone .py files covering:

  • Basic
    • Variables, loops, functions, conditionals, data types
  • Intermediate
    • File handling, error handling, OOP, modules, list/dict/set comprehensions
  • Advanced
    • Decorators, generators, multithreading, web scraping, APIs, data analysis

➕ Bonus:

  • Clean code practices
  • Real-world mini projects
  • Script-level documentation

🗃️ sql

Scripts are written in standard SQL (MySQL/PostgreSQL compatible):

  • Basic
    • SELECT, WHERE, ORDER BY, GROUP BY, JOIN
  • Intermediate
    • UNION, CASE, subqueries, constraints
  • Advanced
    • CTE, window functions, stored procedures, triggers, optimization techniques

➕ Bonus:

  • Sample datasets
  • Use-case-driven queries (reporting, analytics, data manipulation)
  • Scenario-based exercises

🤖 Machine Learning/

Comprehensive implementations of key ML algorithms with clean, well-commented Python code:

🧠 Supervised Learning

  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • Random Forest
  • XGBoost
  • Support Vector Machine (SVM)
  • K-Nearest Neighbors (KNN)
  • Naive Bayes

🧩 Unsupervised Learning

  • K-Means Clustering
  • Principal Component Analysis (PCA)

🧾 Recommender Systems

  • Content-based filtering
  • Collaborative filtering (User-based and Item-based)

➕ Bonus:

  • Data preprocessing and visualization
  • Jupyter notebooks for interactive learning
  • Evaluation metrics (accuracy, precision, recall, ROC-AUC)
  • Project-ready code templates

🤖 Power_BI/

Comprehensive implementations of Power BI Dashboards:

🧠 Power_BI DashBoard

  • Population Analysis
  • HR Data Analysis
  • Financial Analysis

📢 Contributions

Feel free to fork the repo, add your own scripts, and make pull requests!
Let’s grow this resource together 🙌

📜 License

This repository is licensed under the MIT License.