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Tutoriel sur l'apprentissage automatique
Obtenez des informations et des meilleures pratiques en matière d'IA et d'apprentissage automatique, améliorez vos compétences et créez des cultures de données. Apprenez à tirer le meilleur parti des modèles d'apprentissage automatique grâce à nos tutoriels.
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Towards Preventing Overfitting in Machine Learning: Regularization
Learn the basics of Regularization and how it helps to prevent Overfitting.
Sayak Paul
29 août 2018
Support Vector Machines in R
In this tutorial, you'll try to gain a high-level understanding of how SVMs work and then implement them using R.
James Le
21 août 2018
Hyperparameter Optimization in Machine Learning Models
This tutorial covers what a parameter and a hyperparameter are in a machine learning model along with why it is vital in order to enhance your model’s performance.
Sayak Paul
15 août 2018
Image Super-Resolution using Multi-Decoder Framework Tutorial
In this tutorial, you’ll implement a medical imaging using deep learning paper with Python in Keras.
Aditya Sharma
6 août 2018
DBSCAN: A Macroscopic Investigation in Python
Cluster analysis is an important problem in data analysis. Data scientists use clustering to identify malfunctioning servers, group genes with similar expression patterns, or various other applications.
Sayak Paul
3 août 2018
K-Nearest Neighbors (KNN) Classification with scikit-learn
This article covers how and when to use k-nearest neighbors classification with scikit-learn. Focusing on concepts, workflow, and examples. We also cover distance metrics and how to select the best value for k using cross-validation.
Adam Shafi
20 février 2023
Web Scraping using Python (and Beautiful Soup)
In this tutorial, you'll learn how to extract data from the web, manipulate and clean data using Python's Pandas library, and data visualize using Python's Matplotlib library.
Sicelo Masango
21 avril 2025
Hierarchical Clustering in R
Clustering is the most common form of unsupervised learning, a type of machine learning algorithm used to draw inferences from unlabeled data.
DataCamp Team
24 juillet 2018
Autoencoder as a Classifier using Fashion-MNIST Dataset Tutorial
In this tutorial, you will learn & understand how to use autoencoder as a classifier in Python with Keras. You'll be using Fashion-MNIST dataset as an example.
Aditya Sharma
20 juillet 2018
Detecting True and Deceptive Hotel Reviews using Machine Learning
In this tutorial, you’ll use a machine learning algorithm to implement a real-life problem in Python. You will learn how to read multiple text files in python, extract labels, use dataframes and a lot more!
Aditya Sharma
19 juillet 2018
Common Data Science Pitfalls & How to Avoid them!
In this tutorial, you'll learn about some pitfalls you might experience when working on data science projects "in the wild".
DataCamp Team
17 juillet 2018
Understanding Model Predictions with LIME
Learn about Lime and how it works along with the potential pitfalls that come with using it.
DataCamp Team
11 juillet 2018