FlairifyMe is a Reddit Flair Detector for r/india subreddit, that takes a post's URL as user input and predicts the flair for the post using a model generated by Logistic Regression.
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Updated
Apr 21, 2023 - Python
FlairifyMe is a Reddit Flair Detector for r/india subreddit, that takes a post's URL as user input and predicts the flair for the post using a model generated by Logistic Regression.
several programs that allows to scrape data about football league Ekstraklasa. Data such as players, teams, matches and stuff like that. Data are scraped from polish website meczyki.pl
Craigslist Spatial Epidemiology Project
Scraped data of the 2018 Winter Olympics Games in Pyeongchang from www.olympic.org in an effort to make a tidy data set of all competitors (not just winners).
This is Scraping scripts for courses at a few Australian university websites
Analyzing the last statements of executed offenders on Texas' Death Row.
Riigikogu valimiste 2019 piraat-avaandmed
Created a dashboard made from scrapped web data then deployed with flask
This project is about a data-driven infographic of programming languages, a network graph visualization of how languages influence each other and develop over time. Project for 2022 CPSC547 (Information Visualization) at UBC.
I scraped Twitter for tweets about Donald Trump, his legal troubles, political campaign, etc.
A dataset of images containing cars that are/were available for sale in the Indian market.
A web application to aid users with their streaming services. This is your one stop-shop for your streaming services. Users can search across a variety of platforms to help decide what they can watch and where they can watch it.
Exploratory data analysis to identify how casual riders and annual members use bike-sharing differently.
Monitoring and visualization of television in B2C and C2C commercial portal
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