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Achievement: Pull Shark

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Achievement: Pull Shark

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srinathsai/README.md
Github.readme.-.Made.with.Clipchamp.mp4

  • 🌱 My courseworks are:- Data Structures, Operating systems 2, Computer Architecture and Organization, Big Data Management, Software Engineering and Statistics for experimenters II, Big data analytics, Machine learning, Formal Language Theory and Principles of Database

  • 👯 I’m open for opportunities in Software developer fulltime.

  • 📫 How to reach me:

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    Srinath's github stats

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  1. Google-pagerank-algorithm-on-Wikipedia Google-pagerank-algorithm-on-Wikipedia Public

    A memory efficient algorithm for finding which pages need to have importance in recommendations

    Jupyter Notebook 1

  2. Movie-recommendation-using-Apriori-algorithm Movie-recommendation-using-Apriori-algorithm Public

    This project aims to perform fruitful recommendations on big data of movie names using Apriori algorithm with pyspark and without the use of inbuilt libraries.

    Jupyter Notebook 1

  3. Netflix-recommendation-challenge Netflix-recommendation-challenge Public

    implemented model and refined with another model which stands 3rd in the contest of 1million$ prize worth, that aims to decrease original rmse by 10 percent with efficient time-complexity.

    Jupyter Notebook 3

  4. Full-stack-web-based-application Full-stack-web-based-application Public

    A full stack ecom store application has been built using PHP with atleast one trigger, one procedural call and one view.

    JavaScript 1

  5. Time-Series-Forecasting-of-Political-bias-in-Twitter-and-GAB Time-Series-Forecasting-of-Political-bias-in-Twitter-and-GAB Public

    Predicting, how many left, left-leaning, right, right-leaning and center tweets , GAB posts and their likes are being posted for next day and next few 7 days.

    Jupyter Notebook

  6. Building-SpringBoot-MicroServices Building-SpringBoot-MicroServices Public

    This repository deals with the highlighting of the importance of Microservices in real world scenarios by building them from scratch to building Apache Kafka and RabbitMq to handle real streaming data

    Java