Skip to content
This project is about predicting survivors of Titanic disaster using different machine-learning and feature engineering techniques. The objective is to explore unknown information by applying exploratory data analytics on available dataset to determine the correlation between factors to find how many survived. After the results of applying, mach…
Jupyter Notebook
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
README.md
RFtitanic.ipynb
SVCtitanic.ipynb
Titanic_Random_Forest.ipynb
titanicANN.ipynb
titanic_cleaner.ipynb

README.md

titanic-solver

1.use titanic cleaner to get a clean csv file

2.titanicANN - uses neural network

3.titanicSVC - uses SVM machine

4.Rftitanic and titanicrandomForest - use random forest model

Best result from Random forest and TitanicANN on kaggle 81% accuracy.

You can’t perform that action at this time.