Skip to content
View pranavtumkur's full-sized avatar
  • Godrej & Boyce
  • Mumbai

Block or report pranavtumkur

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
pranavtumkur/README.md

Hi there πŸ‘‹!

Welcome to my page! I am Pranav Tumkur and I am an ML Enthusiast. What about you?

  • πŸ”­ I’m currently working on integrating Machine Learning
  • 🌱 I’m currently learning Python, JS, HTML, SQL, AWS... and much more
  • πŸ‘― I’m looking to collaborate with fellow ML enthusiasts
  • ⚑ Just a Gag : You can learn things you know you don't know, but what about things you don't know you don't know? πŸ€”

πŸ“« Connect with me on :

Pranav Tumkur | LinkedIn Pranav Tumkur | Instagram Pranav Tumkur | Tableau



πŸ”§ Languages and Tools:


πŸ“ˆ GitHub Stats

Martin's GitHub Stats

Pinned Loading

  1. Analyzing-the-Hottest-Topics-in-ML-using-LDA Analyzing-the-Hottest-Topics-in-ML-using-LDA Public

    Using LDA, we analyze a large collection of NIPS research papers from the past 3 decades, o discover the latest trends in machine learning.

    Jupyter Notebook 1

  2. How-does-Super-Bowl-outcomes-affect-TV-viewership-and-halftime-performances- How-does-Super-Bowl-outcomes-affect-TV-viewership-and-halftime-performances- Public

    In this project, we find out how TV viewership, half-time performers/musicians interact with Super Bowl scores and outcomes and analyse the trends with time.

    Jupyter Notebook

  3. Lobbyists_4_Good-Tweet_and_User_Analysis Lobbyists_4_Good-Tweet_and_User_Analysis Public

    We analyze tweets of Congressmen, to analyse the interest and sentiment for the cause of Lobbyists4Good

    Python 1

  4. Content-Recommendation-using-Similarity-metrics Content-Recommendation-using-Similarity-metrics Public

    We explore 2 methodologies of designing a recommendation system- Content based and using Collaborative Filtering

    Jupyter Notebook 1

  5. Perform-AB-Testing-to-determine-the-best-version-of-an-E-Commerce-website Perform-AB-Testing-to-determine-the-best-version-of-an-E-Commerce-website Public

    Using SQL we analyze the AB Test results to determine which test has the best effectiveness based on customer views and order response

    1 1

  6. AWS-Serverless-Chatbot AWS-Serverless-Chatbot Public

    An AWS Lex based serverless chatbot to assist you in Booking a Trip. We combines AWS services like Lex, Polly, Lambda, Dynamo DB and Cloudwatch Logs to give you a wholesome experience of booking a …

    Python 1