Negative Binomial Regression model | Statistical model| Count Data model

IN this video you will learn about the negative binomial regression. Such models are used when you have count data that is over dispersed, which mean the variance of the dependent variable is much higher than the mean. This is somewhat similar to Poisson regression model as well. Reference: https://stats.idre.ucla.edu/r/dae/negative-binomial-regression/ Contact - [email protected] ANalytics Study Pack : http://analyticuniversity.com/ For courses on Credit risk modelling, Market Risk Analytics, Marketing Analytics, Supply chain Analytics and Data Science/ML projects contact [email protected] For Study Packs : http://analyticuniversity.com/ Complete Data Science Course : http://bit.ly/34Sucmb Access All Coursera Plus courses @ $400 : https://bit.ly/2ZL51Dd Discounted courses on Udemy (for $11): http://bit.ly/2LYU6hp Free access to Skillshare: http://bit.ly/2thklJu Coursera : Data Science : http://bit.ly/37nABr6 Data Science Python : http://bit.ly/2ZK5oMm Recommended Data Science Books on Amazon : Python for Data Science: https://geni.us/PythonDataScience R for Data Science : https://geni.us/DataScienceR Machine Learning using Tensorflow: https://geni.us/MLinTensorflow Data Science from Scratch: https://geni.us/DataSciencefromScratch Python programming: https://geni.us/LearnPython Artificial Inteligence: https://geni.us/LearnAI Data Vizualization : https://geni.us/DataViz Analytics University on Twitter : https://twitter.com/AnalyticsUniver Analytics University on Facebook : https://www.facebook.com/AnalyticsUniversity Logistic Regression in R: https://goo.gl/S7DkRy Logistic Regression in SAS: https://goo.gl/S7DkRy Logistic Regression Theory: https://goo.gl/PbGv1h Time Series Theory : https://goo.gl/54vaDk Time ARIMA Model in R : https://goo.gl/UcPNWx Survival Model : https://goo.gl/nz5kgu Data Science Career : https://goo.gl/Ca9z6r Machine Learning : https://goo.gl/giqqmx Data Science Case Study : https://goo.gl/KzY5Iu Big Data & Hadoop & Spark: https://goo.gl/ZTmHOA