https://github.com/afnanenayet/kaggle-titanic
The classic Kaggle Titanic data science challenge
https://github.com/afnanenayet/kaggle-titanic
backprop backpropagation classification classifier data forest kaggle layer learn mlp multi numpy pandas perceptron random science scikit sklearn titanic
Last synced: about 1 month ago
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The classic Kaggle Titanic data science challenge
- Host: GitHub
- URL: https://github.com/afnanenayet/kaggle-titanic
- Owner: afnanenayet
- Created: 2017-08-05T08:35:39.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2017-08-05T08:36:09.000Z (almost 8 years ago)
- Last Synced: 2025-04-01T22:19:52.518Z (about 1 month ago)
- Topics: backprop, backpropagation, classification, classifier, data, forest, kaggle, layer, learn, mlp, multi, numpy, pandas, perceptron, random, science, scikit, sklearn, titanic
- Language: Python
- Size: 43 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Kaggle Titanic Challenge
The Kaggle Titanic challenge is a beginner challenge which asks a user to
predict whether a passenger on the Titanic would survive based on their
demographics.
# Setup
You can use conda for your setup or pip/with a virtual environment.
We use the following packages:
```
scikit-learn
pandas
numpy
```
# Synopsis
Here are the algorithms that have been implemented so far and their respective scores in the Kaggle
competition.
| random forest classifier | multi-layer perceptron with backprop |
|---|---|
| 0.73684 | 0.70335 |