Using the IBM HR Analytics Employee Attrition & Performance dataset from Kaggle, I did a check on learning with Hypothesis Testing to retain and practice the concepts. Using Python, Numpy, and Pandas, I explored applying this method to the IBM dataset in order to challenge Job Satisfaction vs Longevity. I have always assumed that if an employee is with a company for an extended period of time they are satisfied with the company. Join me as I discuss what I've learned about Hypothesis testing and discover the results! Link to my GitHub Link to my Website Email me tlkdata2me@gmail.com
Informações
- Podcast
- Publicado20 de maio de 2020 às 03:50 UTC
- Duração19min
- Temporada1
- Episódio6
- ClassificaçãoLivre