agconti / kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
☆875Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for kaggle-titanic
- Statistical Data Analysis in Python☆1,589Updated 9 years ago
- Codes for Kaggle Competitions☆506Updated 7 years ago
- Materials for my Pycon 2015 scikit-learn tutorial.☆895Updated 4 years ago
- Python coded examples and documentation of machine learning algorithms.☆612Updated 4 years ago
- Scikit-learn tutorial at SciPy2016☆514Updated 5 years ago
- Solution of the Titanic Kaggle competition☆125Updated 3 years ago
- Materials for my scikit-learn tutorial☆1,769Updated last year
- Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques☆1,579Updated 5 years ago
- Tutorial on scikit-learn and IPython for parallel machine learning☆1,592Updated 8 years ago
- Codes related to activities on AV including articles, hackathons and discussions.☆1,195Updated 5 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆318Updated last year
- A collection of IPython notebooks covering various topics.☆2,611Updated 4 years ago
- Machine Learning with Text in scikit-learn☆442Updated 3 years ago
- Kaggle's competition for using Google's word2vec package for sentiment analysis☆622Updated 6 years ago
- General Assembly's Data Science course in Washington, DC☆796Updated 3 years ago
- use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm☆919Updated 6 years ago
- Official content for the Fall 2014 Harvard CS109 Data Science course☆317Updated 7 years ago
- Open Content for self-directed learning in data science☆2,962Updated 11 months ago
- Scikit-learn tutorials for the Scipy 2013 conference☆324Updated 7 years ago
- common data analysis and machine learning tasks using python☆5,277Updated 7 months ago
- A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.☆309Updated 4 years ago
- Ways of doing Data Science Engineering and Machine Learning in R and Python☆596Updated 3 years ago
- Kaggle Titanic Comp☆52Updated 9 years ago
- A collection of Kaggle solutions. Not very polished.☆758Updated 6 years ago
- Introduction to Statistics using Python☆900Updated 4 years ago
- Scikit-Learn tutorial material for Scipy 2015☆576Updated 9 years ago
- An introduction to data science using Python and Pandas with Jupyter notebooks☆847Updated 4 years ago
- Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…☆431Updated 3 years ago
- Public material for CS109☆1,477Updated last year
- Deep learning in Python☆1,380Updated 3 years ago