Predicting Employee Attrition - Machine Learning Project in Python

[@albart1732]

Very clear, I'm french and anderstand everything :)

[@adrianzambrana5090]

Very clear and clean model, would be nice make a video about how to know what kind of model choose on differents datasets. I think is a very difficult part of the process

[@sp5xyz]

Hi, YT shown me your channel couple of days ago, but after watching just 1 video i instantly subscribed. Keep up yhe good work, your tutorials are well prepared, explained and simply interesting to watch. Best!

[@matijsbrs]

As always Great video! Thanks

[@coolsai]

Thanks a lot 😊

[@murphygreen8484]

Does this model say what combination of values gives you the highest/lowest chance of an individual attrition?

[@init1508]

yes

[@pandipatipavan3804]

Please share the code files and the links in the description as soon as possible for free 🙏 thank you so much brother ❤

[@elu1]

simple and nice!

[@SonTran-bh5tt]

Great thanks!

[@envision6556]

really enjoy your vidz , thank you for sharing knowledge. I understand the whole concept of get dummies and so on, but if i had a category which created 100's of columns I would have to write a specific code to input and match the column for new data suppose its ok for train / testing, however for entering new data it would be more challenging after it has been trained. I would loop through my columns matching the one which is relevant and inserting a 1 for example. would there be an easier way? a video on your way of doing it would be great.

[@andyn6053]

Great video! I learned a lot, especially about the preprocessing steps (binary encoding and one hot encoding)

[@paulchan6818]

Clear and useful. Hat-off to you.