Uploaded April 2022 | Updated September 2026, 1 hour ago

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The internet can be a mean and nasty place...but it doesn't need to be! Learn how to spot and detect toxic comments using deep learning and Python. The dataset leveraged is originally from Kaggle but you could sub this out for your own data plus I'll show you how to make predictions from raw strings as well!

Get the code: github.com/nicknochnack/CommentToxicity

Chapters
0:00 - Introduction
0:38 - Explainer
1:35 - PART 1: Setup and Data Loading
17:47 - PART 2: Prepare Comments
36:57 - PART 3: Build a Deep Learning Model
49:33 - PART 4: Make Predictions
56:27 - PART 5: Evaluate the Model
1:03:30 - PART 6: Build a Deep Learning Gradio App
1:12:24 - Ending

Oh, and don't forget to connect with me!
LinkedIn: bit.ly/324Epgo
Facebook: bit.ly/3mB1sZD
GitHub: bit.ly/3mDJllD
Patreon: bit.ly/2OCn3UW
Join the Discussion on Discord: bit.ly/3dQiZsV

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!
#deeplearning #python