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.
Jupyter NotebookApache-2.0
Issues
- 0
why use barh and ylim
#19 opened by barotdhrumil21 - 0
Unexpected output
#23 opened by GauravJain21 - 0
- 1
Logistic Regression
#25 opened by bharathcan - 0
Suggestion -- Roommates
#28 opened by Pyame - 0
Suggestion -- update requirements.txt
#27 opened by DaveOkpare - 2
output file "data/output/logitregres.csv" contains the survived values other than {0,1}
#18 opened by srini09 - 1
Install KaggleAux through pip
#6 opened by agconti - 2
sharey for subplots
#7 opened by zunayed - 2
Column headers are now capitalized
#8 opened by thearpitgupta - 1
Categorization of algorithms
#4 opened by hupili