Module 3- boosting algorithms with PyCaret (XGBoost, Catboost and lightGBM) скачать в хорошем качестве

Module 3- boosting algorithms with PyCaret (XGBoost, Catboost and lightGBM)

Relevant playlists: Machine Learning Concepts, simply explained:    • Machine Learning Concepts (shorter videos)   Deep Learning Concepts, simply explained:    • Deep Learning Codes and Concepts (Simply E...   PyCaret (Automated machine learning Python package) :    • PyCaret (Automated machine learning Python...   Instructor: Pedram Jahangiry All of the slides and notebooks used in this series are available on my GitHub page, so you can follow along and experiment with the code on your own. https://github.com/PJalgotrader Lecture Outline: 0:00 Getting access to the python notebook file 2:20 Installing PyCaret on Google Colab 7:50 Importing the "employee" dataset and set up the classification problem in PyCaret 21:30 compare_model() 28:20 tune_model() 31:20 create_model() 34:00 plot_model() 39:35 predict_model() 41:45 finalize_model() 44:55 save_model()