Learn to code Python in this Python coding tutorial in just one day! In this tutorial, you will get your hands dirty and learn the basic principles of Python. Let’s get started!
In this Python Matplotlib tutorial series, you will learn how to create and improve a plot in Python using pyplot. Matplotlib is a 2D plotting library written for Python. It consists of pyplot (in the code often shortened by “plt”), which is an object oriented interface to the plotting library. Matplotlib is an initiative of John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team. Lets stop talking and start creating some beautiful plots using Matplotlib!
MLPs (Multi-Layer Perceptrons) are great for many classification and regression tasks. However, it is hard for MLPs to do classification and regression on sequences. In this Python deep learning tutorial, a GRU is implemented in TensorFlow. Tensorflow is one of the many Python Deep Learning libraries.
By the way, another great article on Machine Learning is this article on Machine Learning fraud detection. If you are interested in another article on RNNs, you should definitely read this article on the Elman RNN.
In this machine learning fraud detection tutorial, I will elaborate how got I started on the Credit Card Fraud Detection competition on Kaggle. The goal of the task is to automatically identify fraudulent credit card transactions using Machine Learning. My Pythonic approach is explained step-by-step.