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Ping Pong nononono Table Tennis :)
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Ping Pong nononono Table Tennis :)
14 followers · 1 following

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Achievement: Arctic Code Vault ContributorAchievement: Pull Shark
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Achievement: Arctic Code Vault ContributorAchievement: Pull Shark
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RajdeepBiswas/README.md
  • 👋 Hi, I’m @RajdeepBiswas
  • 👀 Am interested in all things Big Data and Machine Learning
  • 🌱 If you catch me outside of work, I am an enthusiastic cook - and an avid lover of pool and cricket.
  • 💞️ Am looking to collaborate on Big Data and Data Science projects
  • 📫 Contact: LinkedIn-> https://www.linkedin.com/in/rajdeepbiswas/ Email-> rajdeepbiswasds@gmail.com

Pinned

  1. AI_Enabled_Image_Bucketization AI_Enabled_Image_Bucketization Public

    Bucketize an image based on exhaust data and AI generated data

    Python 1 1

  2. Manufacturing-Quality-Inspection Manufacturing-Quality-Inspection Public

    I have built the computer vision models in 3 different ways addressing different personas, because not all companies will have a resolute data science team.

    Jupyter Notebook 4

  3. Stock_Market_Prediction_with_SnP500 Stock_Market_Prediction_with_SnP500 Public

    This project would demonstrate the following capabilities: 1. Extraction Loading and Transformation of S&P 500 data and company fundamentals. 2. Exploratory and Time Series Data Analysis on top of …

    Jupyter Notebook 7 7

  4. AIR-TRAVEL-SAFETY-DASHBOARD AIR-TRAVEL-SAFETY-DASHBOARD Public

    No other form of transportation is as scrutinized, investigated and monitored as commercial aviation. Yet there are compelling statistics and figures that prove airline transportation to be the saf…

    1

  5. Complete-EDA-and-Sentiment-Analysis Complete-EDA-and-Sentiment-Analysis Public

    In depth EDA, Sentiment Analysis Model Building Evaluation and Selection, Model deployment

    Jupyter Notebook 2

  6. Movies-Data-Consortium Movies-Data-Consortium Public

    The Movies dataset is extraordinarily rich in nature and a lot of interesting data science and exploratory data analytics analysis can be done using it. In this project I have created a movies data…

    Jupyter Notebook 1