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kameshcodes/README.md

Kamesh Dubey

🚀 About Me

Greetings, and welcome to my GitHub profile!

I am Kamesh Dubey, a second-year student pursuing an MSc. in Applied Statistics and Informatics at the prestigious Indian Institute of Technology Bombay. I am extremely passionate about the power of data to drive insights and create positive change. My goal is to explore the vast opportunities available in the field of data science and analytics and contribute to the advancement of this exciting field.

🧠 I'm currently learning Generative-AI and Deployment of ML Models


Projects Projects

Sentiment Analysis on IMDb Reviews

  End-to-End Review Sentiment Analysis Project

 Multivariate Analysis Biplot

    Multivariate Analysis Course Project

🛠 Skills

Data Science Exploratory Data Analysis, Machine Learning, Deep Learning and Time Series Analysis

Data Wrangling and Visualisation Libraries: Pandas, NumPy, Matplotlib, Plotly etc.

Core Subjects: Applied Statistics and Mathematics

Tech Stack Tech Stack

Programming Languages: Python, R, SQL and C

Data Mining and Deep Learning Frameworks: Scikit-learn, PyTorch, XGBoost, Statmodels, etc.

Software and Tools: AWS, Streamlit, Docker, MLFLow, DVC, Tableau, Git, VS Code, and a few more

🔗 Connect with Me

linkedin portfolio

If you have any inquiries or opportunities. Please feel free to contact me via email at kamesh.iitbombay@gmail.com

Popular repositories Loading

  1. kameshcodes kameshcodes Public

    Config files for my GitHub profile.

    1

  2. SI-505-Multivariate-Analysis-Course-Project SI-505-Multivariate-Analysis-Course-Project Public

    Jupyter Notebook 1

  3. Data-Structures-and-Algorithms Data-Structures-and-Algorithms Public

    Data Structures and Algorithms

    Python

  4. daily-learning daily-learning Public

    This repository contains a collection of script files and notebooks documenting my daily learning progress. I regularly update and push new content as I explore various concepts and deepen my under…

    Jupyter Notebook

  5. chroma-detector chroma-detector Public

    This web-application is designed to identify the top 5 dominant colors in an image using the KMeans algorithm implemented with scikit-learn in Python.

    Jupyter Notebook

  6. Semi-Supervised-Image-Classification Semi-Supervised-Image-Classification Public

    Jupyter Notebook