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: 7 days ago
JSON representation

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 (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-08-05T08:36:09.000Z (over 7 years ago)
• Last Synced: 2024-12-17T07:08:12.323Z (8 days 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: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

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 |