Episode 5: Entity Embeddings for Categorical Variables

In this episode, I discuss what entity #embeddings for #categorical #variables are and how to implement them using tensorflow/keras. I have used the data from a Kaggle competition: https://www.kaggle.com/c/cat-in-the-d... for this video. The task in this video is to convert the keras model to pytorch. You can find the full kernel here: https://www.kaggle.com/abhishek/same-... Follow me on: Twitter:   / abhi1thakur   LinkedIn:   / abhi1thakur   Kaggle: https://kaggle.com/abhishek

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Episode 6: Simple and Basic Evaluation Metrics For Regression
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Episode 6: Simple and Basic Evaluation Metrics For Regression

Episode 3: Handling Categorical Features in Machine Learning Problems
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Episode 3: Handling Categorical Features in Machine Learning Problems

Kaggle Tips for Feature Engineering and Selection | by Gilberto Titericz | Kaggle Days Meetup Madrid
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Kaggle Tips for Feature Engineering and Selection | by Gilberto Titericz | Kaggle Days Meetup Madrid

Embeddings: What they are and why they matter
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Embeddings: What they are and why they matter

Fine-Tuning BERT for Text Classification (w/ Example Code)
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Fine-Tuning BERT for Text Classification (w/ Example Code)

Hyperparameter Optimization: This Tutorial Is All You Need
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Hyperparameter Optimization: This Tutorial Is All You Need

What are Embedding Layers in Keras (11.5)
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What are Embedding Layers in Keras (11.5)

Episode 1.1: Intro and building a machine learning framework
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Episode 1.1: Intro and building a machine learning framework

Don't learn AI Agents without Learning these Fundamentals
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Don't learn AI Agents without Learning these Fundamentals

Word Embedding and Word2Vec, Clearly Explained!!!
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Word Embedding and Word2Vec, Clearly Explained!!!

$0 Embeddings (OpenAI vs. free & open source)
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$0 Embeddings (OpenAI vs. free & open source)

Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-1)
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Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-1)

[Webinar] LLMs for Evaluating LLMs
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[Webinar] LLMs for Evaluating LLMs

Building an entity extraction model using BERT
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Building an entity extraction model using BERT

Learn Weights and Biases Now! Beginner Tutorial
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Learn Weights and Biases Now! Beginner Tutorial

Fletcher Riehl: Using Embedding Layers to Manage High Cardinality Categorical Data | PyData LA 2019
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Fletcher Riehl: Using Embedding Layers to Manage High Cardinality Categorical Data | PyData LA 2019

Maciej Arciuch, Karol Grzegorczyk: Embeddings! Embeddings everywhere! | PyData London 2019
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Maciej Arciuch, Karol Grzegorczyk: Embeddings! Embeddings everywhere! | PyData London 2019

Categorical Embedding for Training Machine & Deep Learning Models
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Categorical Embedding for Training Machine & Deep Learning Models

AI Agents for Beginners – Part 1 (Free Labs)
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AI Agents for Beginners – Part 1 (Free Labs)

Pytorch Transformers from Scratch (Attention is all you need)
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Pytorch Transformers from Scratch (Attention is all you need)