Series Temporales con Pycaret y Python

Explore the application of Pycaret and Python in training models to predict time series data. This project-based course delves into utilizing XGBoost, Catboost, and Random Forest to forecast future data based on time series, as well as mastering advanced machine learning models for time series analysis.

• Learn to train various models such as XGBoost, Catboost, or Random Forest for time series prediction
• Predict future data based on time series
• Master advanced Machine Learning models for time series