davidsbatista / machine-learning-notebooks
Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory
☆45Updated 6 years ago
Alternatives and similar repositories for machine-learning-notebooks:
Users that are interested in machine-learning-notebooks are comparing it to the libraries listed below
- ☆31Updated 10 months ago
- This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…☆74Updated 6 years ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated 8 months ago
- Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019☆81Updated 5 years ago
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- Content for Applied ML Workshop @ DataHack Summit 2019☆25Updated 5 years ago
- Contains the material I presented in Data Hack Summit 2019☆9Updated 5 years ago
- Tutorial given at PyData LA 2018☆97Updated 8 months ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆134Updated last year
- Contains slides and hands-on tutorials for understanding and implementing Transformers in Natural Language Processing. Uses the HuggingFa…