Скачать или смотреть Predicting UEFA European Championship 2020 Rankings [DATA SCIENCE AT SCALE WITH VERTICAPY]

Predicting Teams rankings can be harder than predicting football games outcomes. The features creation can be difficult and the causality hard to find. We will show how to predict teams rankings using Time Series features and Machine Learning. We will use VerticaPy and Jupyter to solve this use-case with many Vertica built-in functionalities.


Hands-on: We will use the football dataset. We will create a Time Series model using Moving Windows and variables Autoregressive parts to predict teams rankings. We will use SHAP values to explain the model predictions.

Chapters:

0:00 Intro
0:40 UEFA European Championship
1:22 Predicting Rankings vs Games Outcomes
2:25 Football Predictions are Time Series
3:20 Dataset Challenges - Transposition
3:58 Dataset Challenges - Finding the Ranks
4:42 Machine Learning - Regression
5:21 Hands-on
10:23 Thank-you

VerticaPy Installation Guide: https://www.vertica.com/python/instal...

Notebook & Dataset: https://github.com/vertica/VerticaPy/...

Presenter: Badr Ouali
VerticaPy Website: https://www.vertica.com/python/

LinkedIN:   / verticapy  
Music: https://www.bensound.com - Creative Minds
Photos: https://www.unsplash.com

software: #verticapy #vertica
topics: #football #uefa #sessionization #datascience #machinelearning #movingwindows #timeseries #rankings #predictions