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Shubh-0077/README.md

πŸ’« About Me:

πŸ”­ I’m currently working on ML projects
πŸ‘― I’m looking to collaborate on Data Analysis & beginner ML Projects
🀝 I’m looking for help with improving my real world Project Design
🌱 I’m currently learning ML Fundamentals
πŸ’¬ Ask me about Data & my Tech Journey
⚑ Fun fact : I am transitioning from Commerce student -> Data Science

🌐 Socials:

Instagram LinkedIn Reddit X email

πŸ’» Tech Stack:

HTML5 Python CSS3 Anaconda MySQL Postgres SQLite Framer Matplotlib NumPy Pandas scikit-learn Plotly Scipy Git GitHub Power Bi Notion

πŸ“Š GitHub Stats:



✍️ Random Dev Quote


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  1. 100-Days-Of-Machine-Learning 100-Days-Of-Machine-Learning Public

    A structured 100 Days of Machine Learning journey documenting daily concepts, hands-on practice, and key learnings with Python.

    Jupyter Notebook

  2. Regional-Sales-Performance-Analysis Regional-Sales-Performance-Analysis Public

    End-to-end Regional sales analysis using Python (Pandas, Matplotlib, Seaborn) for data cleaning and EDA, and Power BI for building an interactive dashboard with DAX-driven insights.

    Jupyter Notebook

  3. FIFA-WC2026-Predictor FIFA-WC2026-Predictor Public

    Machine learning tournament simulator for FIFA World Cup 2026. Users predict the group stage; a Random Forest model automatically simulates the full knockout bracket. Built with Python, Streamlit, …

    Jupyter Notebook

  4. Recipe-Site-Traffic-Prediction Recipe-Site-Traffic-Prediction Public

    Predicting which recipes will drive high website traffic for homepage selection using machine learning to replace guesswork with data driven decisions.

    Jupyter Notebook