jmsteinw / Notebooks
This is where all of the IPython Notebooks will be kept from the blog
☆60Updated 7 years ago
Alternatives and similar repositories for Notebooks:
Users that are interested in Notebooks are comparing it to the libraries listed below
- Containing codes of participation in Kaggle competitions.☆37Updated 9 years ago
- Pydata Dallas 2015 Scikit-Learn Tutorial☆62Updated 9 years ago
- ☆77Updated 8 years ago
- ☆26Updated 9 years ago
- Tutorial: Machine Learning with Text in scikit-learn☆74Updated 8 years ago
- Codes related to Knocktober 2016☆23Updated 8 years ago
- Code & Data for Introduction to Machine Learning with Scikit-Learn☆81Updated 6 years ago
- General Assembly repo for Data Science 18☆36Updated 9 years ago
- Churn Prediction with PySpark using MLlib and ML Packages☆56Updated 9 years ago
- ☆18Updated 8 years ago
- Repository for exploratory data transformation & visualization talk☆27Updated 8 years ago
- Recommender System Framework☆125Updated 8 years ago
- Topic Modelling for Humans☆40Updated 7 years ago
- Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial☆22Updated 7 years ago
- Code for Kaggle Otto Production Classification Challenge☆1Updated 9 years ago
- Data Analytics, Statistics, Visualization (R / Python)☆92Updated 7 years ago
- Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.☆69Updated 10 years ago
- Predicting happiness from demographics and poll answers☆45Updated 8 years ago
- Repository for the PyData DC 2016 tutorial☆29Updated 8 years ago
- Code for the Kaggle acquire valued shoppers challenge☆66Updated 10 years ago
- 12 Week Data Science Immersive☆27Updated 9 years ago
- Topic Modelling for Humans☆22Updated 7 years ago
- Understanding Probabilistic Topic Models with Simulation in Python☆64Updated 7 years ago
- Neural network recommendation models in PyTorch☆58Updated 7 years ago
- Solution code from my winning submission to Kaggle's PyCon 2015 competition☆55Updated 9 years ago
- environment setup for strata conference 2018☆67Updated 7 years ago
- My machine learning model for the See Click Predict Fix Kaggle competition☆31Updated 7 years ago
- How to predict credit defaulting?☆93Updated 5 years ago
- Code for CS570, Essentials of Data Science☆109Updated 7 years ago
- Notebooks for the Seattle PyData 2017 talk on Scattertext☆142Updated 7 years ago