agconti / kaggle-titanicLinks
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.
☆942Updated last year
Alternatives and similar repositories for kaggle-titanic
Users that are interested in kaggle-titanic are comparing it to the libraries listed below
Sorting:
- General Assembly's Data Science course in Washington, DC☆801Updated 4 years ago
- Python coded examples and documentation of machine learning algorithms.☆610Updated 5 years ago
- Codes for Kaggle Competitions☆517Updated 8 years ago
- ☆575Updated 7 years ago
- use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm☆922Updated 7 years ago
- Materials for my Pycon 2015 scikit-learn tutorial.☆898Updated 5 years ago
- Machine Learning with Text in scikit-learn☆447Updated 4 years ago
- Official content for the Fall 2014 Harvard CS109 Data Science course☆319Updated 8 years ago
- Scikit-learn tutorial at SciPy2016☆518Updated 6 years ago
- Statistical Data Analysis in Python☆1,722Updated 10 years ago
- Source code for the "Learning scikit-learn: Machine Learning in Python"☆395Updated 6 years ago
- Scikit-Learn tutorial material for Scipy 2015☆576Updated 10 years ago
- Scikit-learn tutorials for the Scipy 2013 conference☆324Updated 8 years ago
- Introduction to Statistics using Python☆913Updated 5 years ago
- Kaggle's competition for using Google's word2vec package for sentiment analysis☆623Updated 7 years ago
- Coursera Machine Learning - Python code☆867Updated 5 years ago
- General Assembly's Data Science course in Washington, DC☆185Updated 3 years ago
- General Assembly's Data Science course in Washington, DC☆665Updated 5 years ago
- Official content for Harvard CS109☆1,789Updated 3 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆377Updated 10 years ago
- A collection of IPython notebooks covering various topics.☆2,610Updated 5 years ago
- A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.☆317Updated 5 years ago
- Solution of the Titanic Kaggle competition☆132Updated 4 years ago
- Some sample IPython notebooks for scikit-learn☆573Updated 3 weeks ago
- Materials for my scikit-learn tutorial☆1,817Updated 2 years ago
- Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques☆1,593Updated 6 years ago
- based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)☆316Updated 8 years ago
- A collection of Kaggle solutions. Not very polished.☆773Updated 7 years ago
- Ways of doing Data Science Engineering and Machine Learning in R and Python☆619Updated 4 years ago
- ☆214Updated 4 years ago