bigsnarfdude / machineLearning
POC IDS anomaly detection engine built with iPython notebook, matplotlib, pandas, numpy, scikit-learn, d3.js, hyperloglog implementation, PYCON 2013 Intro and Advanced Machine Learning Tutorial Notebooks
☆79Updated 10 years ago
Alternatives and similar repositories for machineLearning:
Users that are interested in machineLearning are comparing it to the libraries listed below
- PyTennessee 2014: Statistical Data Analysis in Python☆85Updated 10 years ago
- Public code files for the DDL blog☆56Updated 6 years ago
- Statitical Anomaly Detector of Internet Traffic (SADIT)☆22Updated 7 years ago
- Source code for blog post: Data Mining Coursera for Popular Courses with Python☆24Updated 9 years ago
- Beating the benchmark for Microsoft Malware Classification Challenge (BIG 2015)☆28Updated 10 years ago
- Slides to learn a little natural language processing (NLP) with Python. Written in reST with S5/Docutils.☆28Updated 12 years ago
- Code and Presentation slides for Teaching the Elephant to Read☆17Updated 8 years ago
- Install directions and example notebooks for Udacity's Deep Learning classes☆28Updated 9 years ago
- feng - feature engineering for machine-learning champions☆27Updated 7 years ago
- Additional files for the Otto Group Challenge hosted by Kaggle☆36Updated 9 years ago
- Fraud Detection using ensemble of Statistical, Network analysis and Machine learning approach.☆67Updated 10 years ago
- Commercial Airline Passenger Counts between airports (for latest year reported, usually 2013)☆31Updated 9 years ago
- Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit☆24Updated 10 years ago
- Recommender Systems in Depth: An introduction to Recommender Systems using Python and Crab☆44Updated 11 years ago
- ☆11Updated 8 years ago
- A bot tweeting nonsensical craft beer reviews via Markov chains☆49Updated 9 years ago
- Automated NLP sentiment predictions- batteries included, or use your own data☆18Updated 7 years ago
- EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn☆84Updated 10 years ago
- Predicting job salaries from ads - a Kaggle competition☆55Updated 10 years ago
- Fast Ensembles of Sparse Trees☆38Updated 8 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 9 years ago
- Predicting sales with Pandas☆15Updated 9 years ago
- 4th Place Solution for The Hunt for Prohibited Content Competition on Kaggle (http://www.kaggle.com/c/avito-prohibited-content)☆28Updated 10 years ago
- Predicting closed questions on Stack Overflow☆44Updated 7 years ago
- My 2nd place submission (working with Kevin Goetsch) out of 28 teams at the Kaggle competition at PyCon2015.☆23Updated 9 years ago
- Pydata NYC 2014 Scikit Learn Tutorial☆64Updated 10 years ago
- Estimating how similar are two sets using MinHash (Jaccard similarity coefficient)☆30Updated 12 years ago
- Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video☆102Updated 5 years ago
- Amazon access control challenge☆25Updated 10 years ago
- Scikit-learn quickstart tutorial for Webstep☆18Updated 7 years ago