📊 Full Stack Data Science & Machine Learning Course 🚀

📌 Master Data Science & Machine Learning from Basics to Advanced with Hands-on Capstone Projects!

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🚀 About This Course

This repository is a comprehensive Full Stack Data Science & Machine Learning course covering everything from Python fundamentals to advanced machine learning, deep learning, and business intelligence tools like Excel & Power BI.

💡 Why This Course?
✔️ Structured learning from beginners to advanced
✔️ Hands-on capstone projects for real-world experience
✔️ Covers ML, DL, Time Series, and BI tools

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📂 Course Structure

Section 01 - Python Fundamentals

🔹 Python programming basics, data types, loops & functions

Section 02 - Data Analysis with Business Statistics

🔹 Statistical concepts, hypothesis testing & data visualization

Section 03 - Machine Learning Fundamentals

🔹 Supervised & Unsupervised Learning, ML algorithms & evaluation

Section 04 - Flight Fare Prediction (ML Capstone 1)

🔹 Predicting and analyzing flight ticket prices

Section 05 - Mushroom Classification (ML Capstone 2)

🔹 Exploratory Data Analysis (EDA) & classification

Section 06 - Nursery School Application Classification (ML Capstone 3)

🔹 Regression analysis for admission prediction

Section 07 - Coming Soon

Section 08 - UK Road Accident Time Series Forecasting (ML Capstone 5)

🔹 Time Series Analysis for accident prediction

Section 09 - Deep Learning

🔹 Neural Networks, CNNs, RNNs, Transformers

Section 10 - Microsoft Excel

🔹 Data manipulation & analysis techniques

Section 11 - Microsoft Power BI

🔹 Business Intelligence & Dashboarding

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💻 How to Use This Repo?

1. Clone the repository

   git clone https://github.com/rohanmistry231/Full-Stack-Data-Science-Machine-Learning-Course-Material.git
   cd Full-Stack-Data-Science-Machine-Learning-Course-Material

2. Explore different sections to learn key concepts & projects
3. Follow the README files inside each folder for instructions
4. Run Jupyter Notebooks/Python scripts for hands-on practice

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📢 Connect & Follow Me

📌 LinkedIn: Profile
📌 Medium: Blog

⭐ If you find this repo useful, don’t forget to star it! 🚀