Important: I just started this project and it is heavily in progress. Any feedback is very welcome!

Collection of IPython notebooks for people who are interested in learning about data science. All notebooks aim at providing intuitive understanding, focusing on programming and keeping math to a minimum. The notebooks are designed with explanations and quizzes for self paced learning. Simply clone the repository and start working your way through the notebook. If you don't want to solve the quizzes, or are stuck, you can look at the executed version to see the solution.

01 - Introduction: What is data science?

02 - Getting and visualizing data

xx - KNN and cross-validation

xx - Decision trees and random forest

xx - Support Vector Machines

xx - Deep learning with Keras: Perceptron, MLP and SGD

xx - Deep learning with Keras: Convolutional networks

xx - Deep learning with Keras: Best practices

xx - Deep learning with Keras: Advanced models

xx - Deep learning with Keras: Natural language processing and RNNs

xx - Deep learning with Keras: LSTMs