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Explore entity embeddings for categorical variables and their implementation using TensorFlow/Keras in this 35-minute video tutorial. Learn how to convert a Keras model to PyTorch while working with data from a Kaggle competition. Dive into various categorical variable methods, understand the background paper, and follow along with coding examples. Cover topics such as encoding, model creation, embedding techniques, and regularization. Gain practical insights into training the model and applying these concepts to real-world data analysis tasks.
Syllabus
Introduction
Categorical Variable Methods
Background Paper
Coding
Encoding
Model
GetModel
Embedding
Regularization
Training
Taught by
Abhishek Thakur