This repository is a collection of Machine Learning tutorials wrriten in Jupyter notebooks. Since gitHub is having issues with some of the notebooks, it is recommended to use Jupyter's nbview to render the notebooks (links are provided in the table of contents).

Table of contents:

1. Ensemble Learning
2. Deep Learning 01: Neural Networks - Basics
3. Deep Learning 02: Neural Networks - Backpropagation
4. Deep Learning 03: Neural Networks - Practical Advices
5. Deep Learning 04: Convolutional Neural Networks
6. Deep Learning 05: CNN in action: the MNIST challenge
7. Deep Learning 06: Recurrent Neural Networks
8. Deep Learning 07: Working with text data
9. Deep Learning 08: Classifying IMDB movie reviews using RNNs and a 1D CNN