The objective of this project is to provide developers with insights about the apps available at Google Play and the App Store to understand what kind of product is likely to attract more users.
Here we want to analyze what kind of post within the Hacker News community, on average, receive more comments.
The focus here is to understand the core of search advertising algorithms that efficiently fit each search query with a collection of pre-existing ads.
The goal here is to understand the ridesharing market dynamics of supply versus demand.
This project aims to select, aggregate and transform the most relevant features in a dataset into a time series and then perform some predictive modeling.
In this project we create a web search example and present the result based on the Google-designed search algorithm PageRank.