In this post, we list useful datasets from universities, governments and companies from which you can download datasets for you machine learning project.
Author: Rodolfo Mendes
Software engineer for more than 10 years, I help developers to apply Reinforcement Learning and Deep Learning to create game bots, so they can have fun!
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.
The Imposter Syndrome is Holding You Back from Your Machine Learning Objectives
In this post, we discuss what is the impostor syndrome and how can it be holding you back from your Machine Learning objectives.
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.
