In this article, we’ll see in detail the advantages of the XGBoost library, how to use it, and why experts love it! XGBoost is a library for training Gradient Boosting algorithms. It allows to get the same kind of results…
Is it possible to perform Data Augmentation on CSV data without degrading your dataset? Let’s answer that in this article. Data Augmentation is the process of generating additional training data. It consists in applying transformations on existing data to obtain…
In this article we will see in detail what LightGBM library is, how it creates powerful models and how to use it! LightGBM is a Machine Learning library in Python. It uses Decision Trees, a type of algorithm very specific…
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.…
In this article, we will see how to implement your first Machine Learning models in this complete Scikit-Learn project! Scikit-Learn is THE basic library to do Machine Learning. It allows you to manage data, use AI models and much more!…
Today, let’s see together how to apply Exploratory Data Analysis (EDA) on a NLP dataset: feedback-prize-effectiveness. In a previous article we saw how to do EDA to prevent environmental disasters. Thanks to meteorological data, we analyzed the causes of forest…