Multinomial Logistic Regression with R | 2. Final Model and Interpretation скачать в хорошем качестве

Multinomial Logistic Regression with R | 2. Final Model and Interpretation

Provides steps for applying multinomial logistic regression model with R. Goes over steps to arrive at final model by carrying out 2-tail z-test and provides interpretation of the model. Previous video:    • Multinomial Logistic Regression with R | 1...   Next video -    • Multinomial Logistic Regression with R | 3...   TIMESTAMP 00:00 Introduction 00:20 Finalizing the model, two-tail z-test, p-value 05:14 Interpretation 05:55 Equations for predicting probability Time-Series videos: https://goo.gl/FLztxt Machine Learning videos: https://goo.gl/WHHqWP Becoming Data Scientist: https://goo.gl/JWyyQc Introductory R Videos: https://goo.gl/NZ55SJ Deep Learning with TensorFlow: https://goo.gl/5VtSuC Image Analysis & Classification: https://goo.gl/Md3fMi Text mining: https://goo.gl/7FJGmd Data Visualization: https://goo.gl/Q7Q2A8 Playlist: https://goo.gl/iwbhnE R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.