This is a personal project with multiple steps:
- First extract historical information about the matches of some players using
Riot's API
andRiotWatcher
library, then store it temporally as aDataFrame
then save the sorted information in aPostgreSQL
database. This information start form June 16 2021 and will end to the current day and will be updated daily. - Second the historical data will be analyzed and interpreted. Searching insights.
- Third the data and insights will be used to model and train an IA that predicts witch team will win just with the information you can get by the time loading screen is showed.
- Use cloud functions to make api requests
- Use fire store to save raw data
- Transform data and save it into big query
- Make an analysis
- Deploy the results
For the 1. First step 'spectator' Returns current game info 'champion_mastery' Returns champion masteri info