Visualize, share, and keep your favorite music artists on the Web

This Python script scrapes up to 100 most recent Linkedin job postings of any job title and creates sentiment visualization in a form of a word cloud.

Rust library to generate word cloud images from text and images !

Personalized anime recommendations based on collaborative filtering. Discover your next favorite anime!

Build MAXELLA App to recommend Movies using TensorFlow Recommenders (TFRS)

Building a Spam Filter using Naive Bayes algorithm from scratch.

A simple Jupyter (Lab/Notebook) wrapper of Jason Davies d3 JS wordcloud generator https://www.jasondavies.com/wordcloud/

Streamlit WordCloud React D3

Twitter Sentiment Analysis

Data Analysis Project for analysing YouTube Channel

☁️ Word cloud generator with sensible defaults

EDA using Women's E-Commerce Clothing Reviews Dataset

Sentiment analysis of Joe Biden's and Donald Trump's tweets.

This project is based on displaying the word count in a file using PySpark and Databricks in the cloud.

Aims to analyze the #stopasianhate movement on Twitter and spread the awareness of anti-racism hate.

This website tells the story of a nation's GDP through data visualization, providing insights on global GDP, state-wise GDP, sector-wise GDP, and the vision for India's economy. It includes data sets and sources for further reference.

Codeup Capstone Team Project utilizing Natural Language Processing (NLP) to predict Michelin star ratings of Michelin awardee restaurants using Michelin Guide review text

R Dashboard that provides insights on questions asked on the Crime Surveillance System - Survey. The questions are based on how communities feel about crime related to arson, common assault and possession of deadly weapons. Additionally, on how the implementation of smart surveillance systems would help in detecting the crimes mentioned in real-…

Fake News! Detector aims to find a way to weed out the real news from the fake news. We create this machine learning model to identify authentic news from the swam of fake news on social media.