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
Python tutorials in both Jupyter Notebook and youtube format.
Code Repository for The Kaggle Book, Published by Packt Publishing
How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission t...
DESIGN AND IMPLEMENTATION OF A MACHINE LEARNING PLATFORM
Some solutions about kaggle compettions.
Kaggle problem solving
Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
This repository contains all my small projects related with Data Science and Machine Learning.
Udacity Machine Learning Nano degree Program Project Predicting Passenger Survival
General Assembly's Data Science course in Washington, DC
Scikit-learn tutorial at SciPy2016
This is a Data Science Learning book with Python for beginner
Download, explore, and wrangle the Titanic passenger manifest dataset with an eye toward developi...