Here, I’ll show you how to install and use cuML on Google Colab to boost the training speed of your Machine Learning models. Google Colab offers cloud-based notebooks for running Python code. Mostly used by Data Scientists and ML Engineers,…
In this article, we see what Optuna is, the library that enables you to optimize your Machine Learning Models in a blink of an eye. Optuna is a library that allows the automatic optimization of the hyperparameters of your Machine…
In this tutorial, we will see how to use Ensemble methods, a technique to improve your Deep Learning models precision. The concept of Ensemble is simple: gather predictions of several Machine Learning Algorithms to obtain an optimal result. For example,…
In this article we see how to do the basis of Machine Learning: Linear Regression ! For this we will use the Keras library. But first, what is a linear regression? Linear regression is an approach to solve a problem.…
Let’s see in details how Decision Tree works with Scikit-Learn and especially how to use its hyperparameters to improve it! Decision Tree, is a Machine Learning algorithm used to classify data based on a set of conditions. In this article…
In this tutorial we will see how to simply use Cross Validation with Scikit-Learn and how to use it for prediction. Cross Validation is a way to ensure that our Machine Learning model is at its best. There are only…