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Kunalthakur01/README.md

Hi ๐Ÿ‘‹, I'm Kunal Singh

Machine Learning Enthusiast โ€ข BCA Student โ€ข AI Developer

Building AI projects, solving DSA problems And Learning new technologies


๐Ÿš€ About Me

  • ๐ŸŽ“ BCA Student
  • ๐Ÿค– Learning Machine Learning & Deep Learning
  • ๐Ÿง  Exploring Reinforcement Learning
  • ๐Ÿ’ป Solving Data Structures & Algorithms
  • ๐ŸŒฑ Currently building projects to prepare for AI/ML internships
  • ๐ŸŽฏ Goal: Become an AI/ML Engineer

๐Ÿ›  Tech Stack

Languages

Python C C++ SQL NumPy Pandas Scikit-Learn TensorFlow Google Cloud Git GitHub VS Code


๐Ÿ“ˆ Current Focus

  • ๐Ÿ“š Machine Learning
  • ๐Ÿง  Deep Learning
  • ๐Ÿค– Reinforcement Learning
  • ๐Ÿ’ป Data Structures & Algorithms
  • โ˜๏ธ Google Cloud

๐Ÿ“Œ Featured Projects

  • ๐Ÿค– Machine Learning Projects
  • ๐Ÿง  Deep Learning Projects
  • ๐ŸŽฎ Reinforcement Learning
  • โ˜๏ธ Google Cloud Labs
  • ๐Ÿ’ป Data Structures & Algorithms

๐Ÿ“ซ Connect with Me


"Learning by building. Improving every day." ๐Ÿš€

Pinned Loading

  1. Build-A-Thon Build-A-Thon Public

    Build-A-Thon project developed during a hackathon, showcasing problem-solving, rapid prototyping, and practical implementation using modern development tools and technologies.

    JavaScript 1

  2. Smart_cart_project Smart_cart_project Public

    SmartCart Customer Analytics project using Python, Pandas, and Seaborn for data cleaning, feature engineering, and customer behavior analysis

    Jupyter Notebook 1

  3. movie-recommender-system movie-recommender-system Public

    A content-based movie recommendation system using TF-IDF and cosine similarity, with FastAPI backend, Streamlit frontend, and TMDB API integration.

    Jupyter Notebook 1

  4. Telco-Customer-Churn Telco-Customer-Churn Public

    Machine Learning model that predicts whether a customer is likely to leave a service, helping businesses improve customer retention.

    Jupyter Notebook 1

  5. House-prices House-prices Public

    A machine learning web application that predicts house prices using the Ames Housing dataset and a tuned Gradient Boosting Regressor. Built with Python, Scikit-learn, and Streamlit, and deployed onโ€ฆ

    Jupyter Notebook 1

  6. Customer_Behavior_analysis Customer_Behavior_analysis Public

    End-to-end customer behavior analysis with data cleaning, SQL analytics, and interactive Power BI dashboards for business decision-making.

    Jupyter Notebook