Based in The Netherlands
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Titanic Kaggle
On this page you can find more information about my first submission for a Kaggle competition. The goal is to use Machine Learning to determine which people survived the Titanic disaster and who did not.
How I did it
Summary
As a model I used the RandomForestClassifier, which is a decision tree algorithm. As features I used the following data:
1. In which class a passenger was
2. Male/female
3. Whether and how many siblings/spouses were on board
4. Whether and how many parents/children were on board
My goal was more to understand Machine Learning and scikit-learn than to actually compete.
1. In which class a passenger was
2. Male/female
3. Whether and how many siblings/spouses were on board
4. Whether and how many parents/children were on board
My goal was more to understand Machine Learning and scikit-learn than to actually compete.
Things I've learned
Skills
Programming languages
Python
Excel
Libraries and models
Numpy
Pandas
Scikit-learn
See more
Links
If you want to know more about this project, you can look at my code on Github or take a look at the submission page on Kaggle.