amueller / talks_odtLinks
Slides and materials for most of my talks by year
☆92Updated 2 years ago
Alternatives and similar repositories for talks_odt
Users that are interested in talks_odt are comparing it to the libraries listed below
Sorting:
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 9 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 7 years ago
- Kaggle competition results☆20Updated 6 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆80Updated 8 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 8 years ago
- Advanced Scikit-learn training session☆118Updated 9 years ago
- ☆80Updated 9 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- A helper library for data science pipeline☆36Updated 6 years ago
- ☆66Updated 2 years ago
- Code and notebooks for a talk given at PyBay, 2018-08-19☆49Updated 4 years ago
- In which I implement some applications of machine learning techniques.☆31Updated 9 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Tutorial on deploying machine learning models to production☆59Updated 5 years ago
- Repository for the PyData DC 2016 tutorial☆29Updated 8 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- These are the IPython notebook files for the CSC 432 Spring '13 course.☆23Updated 10 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 7 years ago
- Sample applications built using AWS' Amazon Machine Learning.☆51Updated 8 years ago
- PyTennessee 2014: Statistical Data Analysis in Python☆85Updated 11 years ago
- SigOpt wrappers for scikit-learn methods☆75Updated 2 years ago
- This contains materials for the word embeddings workshop☆127Updated 8 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"☆30Updated 8 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 7 years ago
- Predicting happiness from demographics and poll answers☆45Updated 8 years ago
- Code for the Kaggle acquire valued shoppers challenge☆66Updated 11 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 8 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 8 years ago
- ☆41Updated 10 years ago