Learn how to implement Linear Regression for Machine Learning from scratch using Python. ...

Linear Regression is one of the most simple yet widely used statistical Machine Learning technique. The linear regression machine learning algorithm tries to map one or more independent variable (features) to a dependent variable (scalar output). In this post, you will be learning about: Different types of linear regression in machine learning. A bit of […] ...

In this part of the Deep Learning with Keras series, we will learn some of the most useful concepts. We will cover topics like Callbacks in Keras, saving models and restoring models. You will also learn about Tensorboard visualization which is an important part of Keras callbacks and analyzing and training models. This is the […] ...

In this article, we will be using Keras for regression. In classification, we predict the discrete classes of the instances. But in regression, we will be predicting continuous numeric values. We will use Keras to build our deep neural network in this article. This is the fourth part of the series Introduction to Keras Deep Learning.Part […] ...

In this post, we are going to learn about the Keras Sequential Model and how to use it to build our own deep neural network. If you are following this tutorial series, then this is going to be your first major step in deep learning with Keras. We will be using Keras deep learning to […] ...