Methods of data cleaning and normalization in sports statistics

Methods of data cleaning and normalization in sports statistics

Contents What is data cleaning and normalization in sports statistics Typical errors and duplicates in sports data: how to identify and correct them through the API Methods for cleaning sports event data when loading from the API (validation, filtering, deduplication)...
Training models on historical data: what you need to know?

Training models on historical data: what you need to know?

Contents What is the API for sports events and what data does it provide Where to get historical data on sports events via API Requirements for historical data for training forecasting models How to prepare historical data from the API for machine learning How to...
How to create a Telegram bot with match xG analytics?

How to create a Telegram bot with match xG analytics?

Contents What is xG in football and why do you need a Telegram bot with xG analytics Choosing a sports events API to obtain match xG statistics How to get keys and set up access to the football statistics API How to create and register a Telegram bot for football...
How to create a bot for tracking odds in live?

How to create a bot for tracking odds in live?

Contents What is the API for sports events and live odds Which API to choose for tracking live odds How to get an API key and connect to live odds data How to create a bot for tracking live odds in Python Setting up a bot to track changes in live odds and...