19 min
Check On Learning w/ Hypothesis Testing and Datasets! Talk Data 2 Me
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- Technology
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
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Send in a voice message: https://podcasters.spotify.com/pod/show/tlkdata2me/message
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
---
Send in a voice message: https://podcasters.spotify.com/pod/show/tlkdata2me/message
19 min