mikepqr / serverless-for-data-scientistsLinks
Code and notebooks for a talk given at PyBay, 2018-08-19
☆49Updated 4 years ago
Alternatives and similar repositories for serverless-for-data-scientists
Users that are interested in serverless-for-data-scientists are comparing it to the libraries listed below
Sorting:
- A simple example of containerized data science with python and Docker.☆51Updated 7 years ago
- Slides and materials for most of my talks by year☆92Updated 2 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 7 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 9 years ago
- Sample applications built using AWS' Amazon Machine Learning.☆51Updated 8 years ago
- ☆15Updated 7 years ago
- Kaggle competition results☆20Updated 6 years ago
- sciblox - Easier Data Science and Machine Learning☆50Updated 8 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 7 years ago
- ☆57Updated 8 years ago
- Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"☆30Updated 8 years ago
- ☆28Updated 8 years ago
- Some thoughts on how to use machine learning in production☆72Updated 8 years ago
- Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learning☆55Updated 5 years ago
- Know your ML Score based on Sculley's paper☆34Updated 6 years ago
- Tutorial on deploying machine learning models to production☆59Updated 5 years ago
- A helper library for data science pipeline☆36Updated 6 years ago
- Machine Learning Versioning made Simple☆38Updated 3 years ago
- demos for PyBay talk: Using Randomness to make code faster☆51Updated 8 years ago
- Python implementation of machine learning metrics☆14Updated 7 years ago
- NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…☆31Updated 7 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 8 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- ☆88Updated 7 years ago
- Pandas integration with sklearn☆21Updated 8 years ago
- Remove Tomek Links from your data.☆30Updated 7 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 8 years ago
- Deep learning tutorial for PyData☆85Updated 6 years ago
- Jupyter notebooks and code for Intro to DL talk at Genesys☆14Updated 9 years ago