In this tutorial, we present the process for configuring a basic Machine Learning project using the Python programming language.
In this post, we present Linear Regression analysis using a one variable example. Although real Linear Regression models use multiple input variables, the idea here is to keep the examples as simple and straightforward as possible, so you can focus on the intuition behind Linear Regression and don't get confused with too much data preparation or other details about tools and data manipulation. There are many algorithms to perform regression analysis, but Linear Regression is the simplest of them and the recommended algorithm to start with.
In this tutorial, we are going to create our first machine learning model using the most famous Python libraries and the Google Colab environment, so we don't have to waste any time installing and configuring new software.
Learn how to create random maps for the FrozenLake environment.
The OpenAI/Gym project offers a common interface for different kind of environments so we can focus on creating and testing our reinforcement learning models. In this tutorial I show how to install Gym using the most common package managers for Python. Prerequisites The only prerequisite for basic installation of Gym is the Python 3.5+ interpreter … Continue reading How to install OpenAI Gym