sarguido / k-means-clustering
Repository for my 'K-Means Clustering with Scikit-Learn' talk materials.
☆43Updated 6 years ago
Alternatives and similar repositories for k-means-clustering:
Users that are interested in k-means-clustering are comparing it to the libraries listed below
- Pydata NYC 2014 Scikit Learn Tutorial☆64Updated 10 years ago
- Material for ODSCON San Francisco 2015☆79Updated 9 years ago
- Solution code from my winning submission to Kaggle's PyCon 2015 competition☆55Updated 9 years ago
- ☆28Updated 8 years ago
- Slides and notebooks for PyData Strata San Jose☆50Updated 10 years ago
- Code & Data for Introduction to Machine Learning with Scikit-Learn☆81Updated 6 years ago
- Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit☆24Updated 10 years ago
- All Kaggle competitions☆91Updated 8 years ago
- Additional files for the Otto Group Challenge hosted by Kaggle☆36Updated 9 years ago
- Code for the Kaggle acquire valued shoppers challenge☆66Updated 10 years ago
- Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.☆69Updated 10 years ago
- PyTennessee 2014: Statistical Data Analysis in Python☆85Updated 10 years ago
- ☆27Updated 9 years ago
- ☆66Updated last year
- Pydata Dallas 2015 Scikit-Learn Tutorial☆62Updated 9 years ago
- EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn☆84Updated 10 years ago
- PyData Madrid 2016 material for the talk: A Primer to recommendation Systems☆37Updated 8 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 9 years ago
- Top15 Solution for Kaggle-Competition "Liberty Mutual Group: Property Inspection Prediction"☆50Updated 9 years ago
- Repo for Working with Open Data (Spring 2014 edition), a course at the School of Information, UC Berkeley☆34Updated 9 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 8 years ago
- Introduction to Deep Learning☆127Updated 9 years ago
- Jupyter notebook containing code from text preprocessing blog post☆10Updated 8 years ago
- Material for Machine Learning Meetup "Machine Learning with Scikit-learn"☆29Updated 9 years ago
- Understanding Probabilistic Topic Models with Simulation in Python☆64Updated 7 years ago
- My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)☆82Updated 10 years ago
- Second-ranked solution to the Kaggle "Flavours of Physics" competition☆25Updated 9 years ago
- Advanced Scikit-learn training session☆118Updated 8 years ago
- Notebooks covering introductory material to ML, ML with sklearn and tips.☆77Updated 6 years ago
- Containing codes of participation in Kaggle competitions.☆37Updated 8 years ago