Logistic Regression with R: Categorical Response Variable at Two Levels (2018) скачать в хорошем качестве

Logistic Regression with R: Categorical Response Variable at Two Levels (2018)

Provides an example of student college application for carrying out logistic regression analysis with R. This is among top 10 must know machine learning methods. R code and data files: https://github.com/bkrai/Top-10-Machi... Machine Learning videos: https://goo.gl/WHHqWP Includes, use of a categorical binary output variable data partition logistic regression model prediction equation for prediction misclassification errors for training and test data confusion matrix for training and test data goodness-of-fit test 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.