Predicting Employee Attrition - Machine Learning Project in Python

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Today we go through a full machine learning project, where we predict employee attrition in Python.

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Timestamps:
(0:00) Intro
(0:17) Preprocessing Data
(18:05) Model Training
(21:40) Feature Importances
(25:15) Outro

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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!

spxyz

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

andyn

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

albart

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

adrianzambrana

Are you going to consider class 1 of your result in case of an imbalance dataset in predicting attrition?

udochiogbonna

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

murphygreen

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.

envision

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

pandipatipavan

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