Python for Data Science Report 📊🐍

This repository contains a detailed academic and practical guide on using Python for Data Science. It includes theory, code notebooks, and downloadable report files.

📘 Contents

• ✅ Full Report (PDF & DOCX)
• 📂 Jupyter Notebooks for NumPy, Pandas, Visualization, and Machine Learning
• 📊 Sample Datasets
• 📸 Visualizations and Diagrams

🚀 Topics Covered

• Introduction to Python for Data Science
• Working with NumPy and Pandas
• Data Cleaning and Preprocessing
• Data Visualization using Matplotlib & Seaborn
• Introduction to Machine Learning with scikit-learn

📁 Repository Structure

python-for-datascience/
│
├── README.md
├── report/
│   ├── Python_For_DataScience.pdf
│   └── Python_For_DataScience.docx
│
├── notebooks/
│   ├── 01_numpy_basics.ipynb
│   ├── 02_pandas_intro.ipynb
│   ├── 03_visualization_matplotlib.ipynb
│   └── 04_ml_with_sklearn.ipynb
│
├── datasets/
│   └── sample_dataset.csv
│
├── images/
│   └── plots_and_graphs.png
│
└── LICENSE

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