Dota 2 Winner Prediction

In this competition your task is to predict the outcome of a Dota 2 game given all the game’s characteristics up to a certain point in the game. There are two teams in Dota 2 games: Radiant and Dire. You’ll need to evaluate the chances team Radiant victory. Game’s data is presented with numeric and categorical features, event logs, time series, etc. Working with game’s data and learning to see patterns and regularities can prove very useful in further work.

January 1, 1970

Explorotory Data Analysis pandas_olympic

There are ten questions about 120 years of Olympic history in this task. Your task is to fill in the missing Python code and choose answers in this web-form. Link to github

January 1, 1970

Generative Adversarial Network

Generate fashion designs using Tensorflow! Retail is an incredibly lucrative field to enter because so much of retail currently relies on physical assets (stores, clothing, equipment) and a lot of this can now be automated using machine learning technology. We can use generative models to generate shoes, shirts, dresses, unique mugs, basically anything that someone would want to buy. We just need to find a relevant dataset. Generative modeling is incredibly powerful technology that will change how we interact with the internet (see DeepFakes).