Multinomial Logistic Regression with R 2 Final Model and Interpretation

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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 ... • Next video - • Multinomial Logistic Regression with ... • 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.

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