Ritish Madan's Projects
The game has been made with the use of Python, libraries that have been imported in Tkinter, in order to add some UI to my project.
Extracted some great insights from the available dataset of major startups. Cleaned the dataset with Pandas and extracted insights like majot investors, startups, profits and lots more.
Contact Book built in Node.JS and Express.JS
Implemented the Decision tree from scratch in Python Programming. Decision Tree is build for the classification (Binomial and Multinational)
This repository contains the projects implemented using Decision Tree approach.
We can now make user to sign-in/sign-up in with google OAuth using google api to get control over scopes.
Have created a new Instagram Bot using selenium WebDriver in Python. I have added some automated features to fetch some important insights of top 10 food bloggers, we can also follow, unfollow, like/dislike images using this Instagram Bot
This is the second version of the Instagram Bot, the new functionalities have been added in this Instagram bot, where the data has been analysed, cleaned and extracted. Everything is automatic the user just need to enter the Username and Password of their Instagram and this is ready to go.
Learning the Redux-Store, while building a movie search app on React.
Made a web Scrapper using selenium webdrivers in Python, this scrapper extracts all the ratings of desired app, with Date, Name and Rating format.
In this text classification model, I have used Python as my programming language and have used the Naive Bayes algorithm. In this, I have classified the documents into different categories accordingly and have used the UCI 20 Newsgroups dataset.
The Twitter Airlines Sentiments Analysis has been implemented. In this work, NLP has been majorly used to clean the data. NLTK, and sklearn has been used to clean and predict the data
Used the Zomato API to extract and compare the existing restaurant data. I have found the best rated cuisines and restaurants in Delhi using Zomato Developer API