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Shivam Bhirud's Projects

capital-bike-share-data-streamlit-web-application icon capital-bike-share-data-streamlit-web-application

It is a web app tutorial project made with streamlit, a ML web app tool. It has some super cool features that can eliminate the need of any web framework. So, a data scientist can focus entirely on the analytics part rather than worrying about managing frontend and backend with any sort of framework. Do check out this project!

diabetes-prediction-using-ml icon diabetes-prediction-using-ml

Diabetes Prediction is performed based on patient's reports using supervised machine learning Naive Baye's Classification algorithm using python Scikit-Learn

exam-portal icon exam-portal

This is an Exam Portal where a school can generate quizzes and students can log in to take any quiz from any school.

game-analytics icon game-analytics

Predicting which level of the game is where most likely players tend to fail the most.

imdbmoviesdb icon imdbmoviesdb

histogram showing total count of movies released in slot of certain years.

producthunt_project icon producthunt_project

It is a Django web app where a user can login and add a product and vote for his product as well as for other user's products.

sla-track icon sla-track

Android application for tracking an employee to make sure that the allotted task of the day has been completed according to the Service Level Agreement.

team-up icon team-up

A Team-up online platform where you can create and join various teams that serve various purposes. For example, someone might have published a team-up advertisement having a vacancy for 5 people, so that they can form a team and participate in a hackathon next month. People will be able to see the advertisements in the respective sections on the portal and can request to join that team. Similarly, everyone can join or create their own advertisements. You can judge someone whether they are good for your team based on their detailed profile on this portal.

twitter-sentiment-analysis icon twitter-sentiment-analysis

Twitter Sentiment analysis is performed on a captured dataset of tweets. Regex is used to filter the data and predict how many positive, negative , and neutral tweets were there in the dataset. The model used to perform sentiment analysis is textblob.

videotube-subscription-and-payment-integration icon videotube-subscription-and-payment-integration

This project is about the VideoTube subscription. Features: Django User account creation, Plan selection and subscription, Payment gateway integartion via Stripe. Extra functionality where user can resume and pause the current choosen plan.

wordcount icon wordcount

This is a word counter website developed on Django web framework. It can count the number of occurrences of each word in the text that you add in it.

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