Hi guys! Today I'll be running through one of Kaggle's data science competitions from start to finish. We will go in-depth into all the necessary actions to perform when trying to optimize a model for high-performance, as well as any preprocessing/data transformation steps that would help us make good predictions.

Here is a link to the Kaggle competition:
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And here is a link to the notebook from the video:
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Thanks so much for watching! If you liked the stream, make sure to subscribe and hit the bell for more content!

See you all later! :)

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