How to scale attributes with normalization and standartization

Attributes in different scales are common in Machine Learning projects. For example, a medical record dataset can include in the columns weight, height, and blood pressure. These attributes have different units of measure and vary in different intervals, making their comparison difficult. In these cases, we can apply a process called scaling to make this comparison easier. … Continue reading How to scale attributes with normalization and standartization →

Big and Complex Projects Will Demotivate You, Build Simple and Small Projects

In this post, we discuss how big and complex projects are demotivating, and how we can overcome the demotivation building smaller and simpler projects.

Small Machine Learning Projects

This page contains a list of links to small machine learning projects, which you can use as examples or to bootstrap a more significant projects.

Introduction to Linear Regression With One Variable

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.

5 Reasons Why Google Colaboratory is the Right Tool for Beginner Data Scientists

Google Colab is the right tool to get started with data science. You don't need to install software, you have proper documentation, and you can share your work easily. Int this article, we list five reasons that make Google Colab the right tool for beginner data scientists.

Create your first machine learning model in 5 minutes with Google Colab

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.

40 Resources to Completely Master Markov Decision Processes

Markov Decision Process is a fundamental concept in the Reinforcement Learning. In this post we selected more than 40 resources about Markov Decision Process, including blog posts, books, and videos.

How to create FrozenLake random maps

Learn how to create random maps for the FrozenLake environment.

Gym Tutorial: The Frozen Lake

In this article, we are going to learn how to create and explore the Frozen Lake environment using the Gym library, an open source project created by OpenAI used for reinforcement learning experiments.

Introduction to Reinforcement Learning: the Frozen Lake Example

In this post, we introduce Reinforcement Learning basic concepts using the Frozen Lake game example.