Chi Square Test
Learn to apply Chi-Square tests for categorical data analysis, including hypothesis testing, p-value interpretation, and implementation in Excel, Python, and R. Gain practical skills for statistical inference.
Logistic Regression on Customer Data - Machine Learning Algorithms Using Python
In this video, the we will walk you through a case study on Customer data of a financial institution. The objective of the case study is to reduce expenses by targeting only those customers who are likely to subscribe using predictive modeling.
Inferential Statistics
Learn fundamental concepts of inferential statistics, including data collection, hypothesis testing, and statistical analysis techniques for making data-driven inferences and decisions.
Multinomial Logistic Regression
Explore multinomial logistic regression, covering introduction and multiple regression concepts for analyzing categorical outcomes with more than two levels.
Qualitative Response Models: Logit and Types - Part II
Explore types of qualitative response models, focusing on logit models and their applications in statistical analysis.
Multinomial Regression Model - Part I: Introduction to MRM and Multinomial Logit Model
Explore multinomial regression models, including types and the multinomial logit model. Learn key concepts and applications in statistical analysis.