PyProjects: Data Science, Machine Learning & AI Engineering Hub

Building from Python Fundamentals → Data Science → Machine Learning → Deep Learning → AI Engineering

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🌟 Vision

Welcome to PyProjects.

This repository is my personal knowledge base and engineering playground where I document everything I learn while becoming a Data Scientist, Machine Learning Engineer, and AI Engineer.

Instead of storing random notebooks, this repository follows a structured learning path

Every project, notebook, experiment, and note represents a step in that journey.

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📂 Repository Structure

📦 PyProjects
│
├── 📁 core
│   ├── LinearRegression
│   ├── LogisticRegression
│   ├── KNN
│   ├── SVM
│   └── LifeCycleOfMLProject
│
├── 📁 data
│   └── Datasets used throughout projects
│
├── 📁 models
│   └── Trained machine learning models
│
├── 📁 FoodOrderDashboard
│   └── End-to-End EDA Dashboard Project
│
├── 📁 TODO
│   └── Flask-based Productivity Application
│
├── 📁 static
├── 📁 templates
│
└── 📄 Documentation & Learning Notes

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🤝 Contributions

Suggestions, discussions, corrections, and learning resources are always welcome.

If you discover a better approach, feel free to open an issue or submit a pull request.

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📬 Connect

GitHub: https://github.com/dpk45deepak

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“Small improvements every day lead to remarkable results over time.”

🚀 Building the future one commit at a time.