Assignment of the "Introduction to Data Science" course on Coursera.org
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Updated
Feb 9, 2016 - Python
Assignment of the "Introduction to Data Science" course on Coursera.org
Kaggle.com is a website that hosts competitions on data analytics and prediction. It provides the data source and competitors are asked to submit their solution. This repo contains the source code for one such competition, namely, "Titanic: Machine Learning from Disaster"
The classic Kaggle Titanic data science challenge
Solve simple data science problem, finding most freq names.
Build a model with machine learning to predict which passengers would survive the Titanic's maiden voyage.
A simple webapp that displays information about the deathtoll of the Titanic using the Titanic Dataset. The webapp is created using the Python3 library 'streamlit'. The app contains a few filters such as the Pclass, Gender and Survived(0 or 1) that display the data according to those filters selected.
Estudo de machine learning no dataset do titanic
Predict will people stay alive in Titanic disaster using 'decision tree'
Predict will people stay alive in Titanic disaster using 'random forest'
All things related to deep learning.
In this challenge, I build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).
Add a description, image, and links to the titanic topic page so that developers can more easily learn about it.
To associate your repository with the titanic topic, visit your repo's landing page and select "manage topics."