The head of the SAIT FIITA Department of VNTU continues to share his experience in the field of artificial intelligence and Data Science in Python. He published a new video “Analysis and forecasting of time series using the example of the bitcoin rate” on his YouTube channel “AI-ML-DS Training Course in Python”: https://www.youtube.com/watch?app=desktop&v=hodUvdBC3js&list=PL4DHq-xU-ebUiB6T6vjd0SoDha4GOm8zV&index=24 The Python program implements both time series models (FB Prophet, ARIMA), and classic machine learning models based on many features – regressions, decision trees, multilayer neural networks, etc. Exploratory data analysis, synthesis of new features in various ways, formation of training, validation and test datasets, tuning the parameters of each model, selection of the optimal model and forecasting based on it, analysis of the importance of features - about this in detail and with an example.