This article explains the steps to build a machine learning model, including explanations, examples, and Python code that everyone can try to execute and modify as they like. In this article, I will use the following Python libraries to make…
What is a random forest? A random forest is a bagging machine-learning model that combines the output of numerous decision trees to make predictions. Random forest training As said before, the random forest algorithm is just the bagging (bootstrap aggregation)…
What a decision tree is A decision tree is a non-parametric supervised machine learning model that predicts outputs by extracting various conditions from the data that an input may or may not meet. Decision tree structure The CART algorithm: how…
An algorithm is a detailed step-by-step set of instructions aimed at solving a problem. Algorithms are the beating heart of modern computing. Every time you perform a search on the Internet, send an email, watch an online video or shop…
What machine learning is (definition) Machine learning is a subfield of artificial intelligence that studies the development of machines able to find meaningful pattern and relationships in a large input data. What makes a machine learn? Put this way, machine…
Do you often hear about artificial intelligence in the news and want to learn more about it? Do you find a machine’s ability to learn interesting, and would you like to understand how an AI works deep down? Are you…