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…
Normalize your data in 3 easy ways, both for DataFrame and Numpy Array. This is the challenge of this article! Normalization is changing the scale of the values in a dataset to standardize them. Instead of having a column of…
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…
In this article, we will learn how to use YOLOv7: how to implement it, understand the results and use different weights! YOLOv7 is the second version of YOLO to be published this year 2022. YOLO stands for You Only Look…