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MihirD97/README.md

Follow me on Medium and help me Keep Data Simple!

👋 Hi, I’m Mihir Deshpande. Github Username: MihirD97

👀 I’m interested in making data simple for everybody!

🌱 I’m currently learning Computer Vision, Advanced Machine Learning, Optimization, Text Analytics, Marketing Analytics, Unsupervised Learning, Supply Chain Analytics, Time Series Analysis, Information Management and many other interesting subjects in my Masters course that give me an in depth understanding of data analysis and its role in decision making

💞️ I’m looking to collaborate on ML and Data Science projects, help write articles that simplify data science concepts that seem daunting at first glance.

📫 How to reach me - LinkedIn: https://www.linkedin.com/in/mihir-n-deshpande/

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  1. video-search-deep-learning video-search-deep-learning Public

    Forked from AmritSd/video-search-deep-learning

    Code for "What does the Prof say? - Contextual Topic Search using Sequence to Sequence models, OCR and Large Language Models

    Jupyter Notebook

  2. Computer-Vision-based-Lane-Detection Computer-Vision-based-Lane-Detection Public

    Forked from nhuarancay/Computer-Vision-based-Lane-Detection

    Group Project for MIS-382N Advanced Machine Learning Course

    Jupyter Notebook

  3. Portoflio-Optimization Portoflio-Optimization Public

    Using Multilinear Quadratic Programming to optimize portfolio weights on 2019 NASDAQ data

    Jupyter Notebook

  4. Targeted-Customer-Advertising Targeted-Customer-Advertising Public

    Identifying key market segments using RFM analysis and logistic regression and devised a strategy for targeted advertising using Market Basket Analysis

    R

  5. GOOGL-v-APL-Strategy-Analysis GOOGL-v-APL-Strategy-Analysis Public

    Using Latent Dirichlet Analysis to analyze earnings call transcripts of Google and Apple from Q3 2008 to Q4 2021.

    Jupyter Notebook

  6. Twitter-Gender-Recognition Twitter-Gender-Recognition Public

    Used amazon turk data to analyze twitter user profile descriptions. Predicted user gender for demographic analysis with 67% accuracy.

    Jupyter Notebook