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Name: Rishabh Chauhan
Type: User
Bio: Passionate Data Science enthusiast and recent B.Tech graduate in Computer Science with specialization in Data Science.
Name: Rishabh Chauhan
Type: User
Bio: Passionate Data Science enthusiast and recent B.Tech graduate in Computer Science with specialization in Data Science.
combine historical usage patterns with weather data in order to forecast hourly bike rental demand.
A project based on a real-life business problem, provided with the client data such as age of the client, their job type, their marital status, etc. Given this information, the task is to predict if the client will subscribe to a term deposit.
Using dog images and pre-trained CNN models to classify the emotions of dogs into 4 categories, angry, sad, relaxed, and happy
This is a web applcation built on react and fastapi. It takes an image of a dog as an input and uses deep learning to classify the emotion of dog in three classes (happy, sad, angry)
An emotion detection AI system using facial expression and pupillometry
IBM Coursera capstone project to predict falcon 9 landing and further analysis.
This is a machine learning model deployment project of Iris classification model in a minimal UI using flask web framework and deployed it in Azure cloud using Azure app service. We initially made this project as a requirement for an internship at Indian Servers. We are now making it open to contribution.
Projects for Machine Learning Projects
Welcome to the Movie Recommendation App! This application utilizes content-based filtering to provide personalized movie suggestions based on various movie details.
Simple project on sentiment analysis of movie reviews
ntcc project on introduction to big data analytics, AI, Cloud computing, IoT on improving intelligent network and QoS
Its a web app that is using fastapi and sklearn to calculate the similarity between two textual snippets.
sentiment analysis using deep learning techniques. The model is designed to analyze and classify the sentiment (positive or negative) of text data.
Deep learning model using lstm layers to classify email as spam or not
Flask Web App for classifying email as spam or not spam. Just input the content of mail in the text field and press Analyse to get classification results.
Minor project
Used beautiful soup to web scrape Tesla and gamestop stock data
Prediction of wine quality using various classification algorithm and analysis of result to figure the key factors of a good quality wine
Scrapes comments of any video using selenium and beautiful soup.
YouTube Sentiment Analysis web app allows users to input a YouTube video URL and the number of times they want to scroll through the comments. It then performs sentiment analysis on these comments and displays the result
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.