✦ Projects ✦

A curated collection of Data Science, Machine Learning & Deep Learning explorations

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About

A personal workspace for building and experimenting with Data Science, Machine Learning, and Deep Learning projects. From foundational library explorations to neural network implementations — each project is a step towards mastery.

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� Repository Structure

projects/
│
├── 📊 Libary projects/          # Core library & data science work
│   ├── pandas/                  # DataFrames & analytics
│   └── numpy/                   # Numerical computing
│
├── 🤖 ML Models/                # Machine Learning projects
│
├── 🧠 DL Models/                # Deep Learning experiments  
│
└── 🎨 Others/                   # Creative & miscellaneous

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🔬 Data Science

E-Commerce Sales Analysis

End-to-end business intelligence pipeline

• Customer lifetime value & segmentation analysis
• Multi-dimensional revenue analytics
• Pivot tables for cross-tabulation insights
• Data export in multiple formats (CSV, Excel, JSON)

pandas numpy

NumPy Data Pipeline

Understanding ML preprocessing from first principles

• Statistical analysis & outlier detection (IQR method)
• Normalization: Z-score & MinMax scaling
• Manual PCA implementation for dimensionality reduction
• Correlation matrix computation

numpy matplotlib

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🤖 Machine Learning

Projects coming soon...

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🧠 Deep Learning

Projects coming soon...

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🎨 Miscellaneous

Project	Description
Dream List	Interactive CLI journal with JSON persistence
Mentorly	A humorous brain-sync simulation

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� Roadmap

• Classical ML algorithms (Regression, Classification, Clustering)
• Neural network implementations with PyTorch
• Computer Vision projects
• NLP experiments
• Game development with Python

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_{Learning by building — one project at a time}