B1. Building Neural Networks with scikit-learn. Implementing Text and Image Classification Using Neural Networks in scikit-learn: 1. Module Overview 2. Encoding Text in Numeric Form 3. Loading and Exploring the Newsgroup Dataset 4. Creating Feature Vectors from Text Data Using Tf-Idf 5. Building and Training a Classification Model on Text 6. Encoding Images in Numeric Form 7. Loading and Visualizing the Lego Bricks Image Dataset 8. Building and Training a Classification Model on Image 9. Module Summary
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