Discover @apoorvdwi Open Source projects

Apoorv Dwivedi (@apoorvdwi)

apoorvdwi

Stars
47
Global Rank 356,388 (Top 13 %)
Followers 70
Following 1
Registered about 5 years ago
Most used languages

Jupyter Notebook
66.7 %

JavaScript
25.0 %

Vue 8.3 %
Location 🇮🇳 India
Country Total Rank 12,179
Country Ranking

Vue 227

Jupyter Notebook
1,984

JavaScript
5,461

Ds-Algo-HacktoberFest

Beginner Friendly repository for hacktoberfest. Everyone is free to contribute .

Jupyter Notebook

HacktoberFest-OpenSource-2021

A starter Project for HacktoberFest 2021. Read the Description to know how to contribute

Idea-Xchange

Find the idea for your next project/startup posted by people all over the world. Alternatively, post your idea over the platform and allow people to comment over the idea.

EasyCall

EasyCall is a web app for meetings, chats and collaborate at one place. It is built using React for frontend, Express , Sockets server and Twilio for handling APIs and communication, and Firestore for database. The meetings have an inbuilt support for a full fledged excalidraw whiteboard for collaboration.

MusicWorld

Music World is web3 app built over Solana where anyone can add their favourite songs and see the other songs that are added by different people from around the globe.

911-Calls

Analyzed the 911 calls dataset available on Kaggle . Performed data cleaning , EDA and feature engineering .

Jupyter Notebook

Economic-Crisis

Exploratory Data Analysis of 5 major banks stock prices during the economic crisis in early 2016 .

Jupyter Notebook

Random-Forests

Implmented Decision Trees and Random Forest on Lending club dataset and compared which algorithm performed better .

Jupyter Notebook

Yelp-reviews-NLP

Implemented Natural Language Processing on Yelp reviews dataset from Kaggle to classify reviews as 1 star or 5 star .

Jupyter Notebook

Iris-Flower-Dataset

Implemented a Support Vector Machines model on the Iris Flower Dataset .

Jupyter Notebook

Binary-Classification

Implemented Logistics Regression to predict if a user will click on advertisement or not by studying other features of the user .

Jupyter Notebook

Linear-Regression

Implemented Linear regression on a ecommerce dataset to find out how much time costumers spend on ecommerce website vs ecommerce app . Predicted investing on which platform will be profitable for the ecommerce company .

Jupyter Notebook