Vikaskumar Singh's Projects
XYZ company having below requirements We make our apps available on Google Play and the App Store. We only build apps that are free to download and install. Our main source of revenue consists of in-app ads.This means our revenue for any given app is mostly influenced by the number of users who use our app ā the more users that see and engage with the ads, the better. My goal for this project is to analyze data to help our developers understand what type of apps are likely to attract more users.
In this project, we'll compare two different types of posts from Hacker News, a popular site where technology related stories (or 'posts') are voted and commented upon. The two types of posts we'll explore begin with either Ask HN or Show HN. Users submit Ask HN posts to ask the Hacker News community a specific question, such as "What is the best online course you've ever taken?" Likewise, users submit Show HN posts to show the Hacker News community a project, product, or just generally something interesting. We'll specifically compare these two types of posts to determine the following: Do Ask HN or Show HN receive more comments on average? Do posts created at a certain time receive more comments on average? It should be noted that the data set we're working with was reduced from almost 300,000 rows to approximately 20,000 rows by removing all submissions that did not receive any comments, and then randomly sampling from the remaining submissions.
A robot powered training repository :robot:
100 top-rated movies from the past decade along with various pieces of information about the movie, its actors, and the voters who have rated these movies online. In this assignment, will try to find some interesting insights into these movies and their voters, using Python.
Here, the bunch of reusable VBA code which will help in automation.
Config files for my GitHub profile.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent