A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
APACHE-2.0 License
The CO2 Oracle project uses machine learning and AI to analyze and predict CO2 emissions for envi...
Collection of useful data science topics along with articles, videos, and code
Some fundamental machine learning and data-analysis techniques are explained through realistic ex...
Day-wise Python Learning resources from basic concepts to advanced Python applications such as da...
Repository to track Data Analysis done on various datasets available online
This repository contains a package with the model built on the well-known "Titanic" dataset.
General Assembly's 2015 Data Science course in Washington, DC
All my submissions for Kaggle contests that I have been, and going to be participating.
A simple example of how to solve Kaggle's "Titanic: Machine Learning from Disaster" challenge usi...
Data Science Roadmap from A to Z
Scikit-Learn tutorial material for Scipy 2015