• Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created almost 5 years ago
  • Updated almost 5 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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

More Repositories

1

Ds-Algo-HacktoberFest

Beginner Friendly repository for hacktoberfest. Everyone is free to contribute .
Jupyter Notebook
14
star
2

HacktoberFest-OpenSource-2021

A starter Project for HacktoberFest 2021. Read the Description to know how to contribute
Vue
9
star
3

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.
JavaScript
7
star
4

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.
JavaScript
7
star
5

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.
JavaScript
3
star
6

911-Calls

Analyzed the 911 calls dataset available on Kaggle . Performed data cleaning , EDA and feature engineering .
Jupyter Notebook
1
star
7

Economic-Crisis

Exploratory Data Analysis of 5 major banks stock prices during the economic crisis in early 2016 .
Jupyter Notebook
1
star
8

Random-Forests

Implmented Decision Trees and Random Forest on Lending club dataset and compared which algorithm performed better .
Jupyter Notebook
1
star
9

Iris-Flower-Dataset

Implemented a Support Vector Machines model on the Iris Flower Dataset .
Jupyter Notebook
1
star
10

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
1
star
11

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
1
star