Data Science & Machine Learning – Learning Journey Repository

Welcome to my Data Science & Machine Learning learning repository! This repo contains all my hands-on notebooks, datasets, exercises, and implementations as I progress through Python fundamentals, Data Science workflows, and Machine Learning concepts.

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What This Repository Contains

✅ 1. Python Fundamentals

Includes notebooks focused on Python basics essential for Data Science:

• ✔️ Python Data Structures (Lists, Tuples, Sets, Dictionaries)
• ✔️ Indexing, slicing & operations
• ✔️ Small exercises to build logic

📁 Notebook: Python_Data-Structures.ipynb

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2. Python Libraries for Data Science

Hands-on learning with essential Python data libraries:

• ✔️ NumPy basics & array operations
• ✔️ Pandas for data manipulation
• ✔️ Reading CSV, TSV, Excel files
• ✔️ Cleaning, filtering, sorting data

📁 Folder: Python_Libraries 📁 Notebook: Pandas_Crash_Course.ipynb

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📑 3. Pandas Data Analysis Projects

Working with real datasets using:

• .read_csv()
• .info()
• .describe()
• Handling missing values
• GroupBy, filtering & slicing
• Data preprocessing

📁 Dataset: data.tsv.txt 📁 Dataset: Euro_2012_stats_TEAM.csv

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4. Mini Python Projects

To strengthen programming fundamentals:

🔹 Guessing Game – Logic building 📁 Folder: Guessing_game

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Learning Concepts Covered

🔹 Python Basics

• Data Types
• Data Structures
• Functions
• Loops & Conditions

🔹 Core Data Science Concepts

• Data Cleaning
• Data Exploration
• Feature Understanding
• Working with tabular data

🔹 Machine Learning Concepts

• ML workflow
• Data → Preparation → Model → Prediction
• Understanding data pipelines

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Data Science & ML Workflow I’m Following

• 📌 Business Understanding
• 📌 Data Collection
• 📌 Data Cleaning
• 📌 Data Exploration
• 📌 Feature Engineering
• 📌 ML Model Training
• 📌 Prediction & Evaluation
• 📌 Visualization

This repository will continue growing as I learn NumPy, Matplotlib, Scikit-learn, Deep Learning, and build real ML models.

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📂 Repository Structure

Data-Science_with-ML
│
├── Guessing_game/
├── Python_Libraries/
├── Pandas_Crash_Course.ipynb
├── Python_Data-Structures.ipynb
├── Euro_2012_stats_TEAM.csv
├── data.tsv.txt
└── README.md

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What’s Coming Next

• ✨ NumPy Deep Dive
• ✨ Data Visualization (Matplotlib / Seaborn)
• ✨ Exploratory Data Analysis (EDA)
• ✨ Machine Learning Models using Scikit-Learn
• ✨ End-to-End ML Projects
• ✨ Kaggle Projects

This repository will be updated regularly as I continue my journey in Data Science & Machine Learning.

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Connect With Me

If you're also learning Machine Learning or Data Science, feel free to explore this repo, connect, or collaborate!

🔗 GitHub Profile: https://github.com/RangeshPandianPT 🔗 LinkedIn: [https://www.linkedin.com/in/rangeshpandian-pt-428b04325]

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