Predicting the winner for English Premier League football matches
In this post, I build a pipeline for preprocessing web-scrapped data of EPL matches and predicting the winner of a match using machine learning.
Web scrapping data for English Premier League football matches
In this post, I web-scrap the scoring and shooting data for teams that played the last five seasons of EPL.
Finding Heavy Traffic Indicators
In this post, I analyze a dataset about the westbound traffic on the I-94 Interstate highway to determine a few indicators of heavy traffic on I-94. These indicators can be weather type, time of the day, time of the week, month of the year, etc.
Exploring Hacker News Post
In this post, I analyze the posts in Hacker News to identify the optimal timing for creating a post and the type of posts that recieve more comments and. Based on the analysis, the 'ask posts' recieve more comments than 'show posts' on average. Moreover, the 'ask posts' receieve 38.59 comments on average if a post is createed at 3.00pm in Eastern timezone.
Profitable App Profiles for the App Store and Google Play Markets
In this post, I analyze apps in Google Play and Apple store to understand the type of apps that attract more users. Based on the analysis, a new app may be developed for english speaking users, which will be available for free on the popular app stores. The developers will earn revenue through in-app ads. The more users that see and engage with adds, the better.