Build a Comment Toxicity Model with Deep Learning and Python

Learn to develop a deep learning model for detecting toxic comments using Python in this comprehensive tutorial video. Explore the process of building a comment toxicity classifier, from data preparation to model deployment. Begin with setting up the environment and loading the dataset, then move on to preprocessing comments for analysis. Construct and train a deep learning model, make predictions on new data, and evaluate its performance. Finally, create an interactive application using Gradio to showcase the model's capabilities. Gain practical experience in natural language processing and machine learning while addressing the important issue of online toxicity. Access the provided code repository to follow along and adapt the techniques to your own datasets.

- Introduction
- Explainer
- PART 1: Setup and Data Loading
- PART 2: Prepare Comments
- PART 3: Build a Deep Learning Model
- PART 4: Make Predictions
- PART 5: Evaluate the Model
- PART 6: Build a Deep Learning Gradio App
- Ending