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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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Machine Learning with Black Friday Dataset Tutorial
In this tutorial, you will gain knowledge on filling null values, preprocessing data, reducing dimensionality using PCA, and split data using K-Fold.
Rohit Peesa
11 octobre 2018
Diving Deep with Imbalanced Data
Learn the techniques to deal with an imbalanced dataset.
Sayak Paul
4 octobre 2018
Demystifying Crucial Statistics in Python
Learn about the basic statistics required for Data Science and Machine Learning in Python.
Sayak Paul
27 septembre 2018
TPOT in Python
In this tutorial, you will learn how to use a very unique library in python, TPOT. The reason why this library is unique is that it automates the entire Machine Learning pipeline and provides you with the best performing machine learning model.
DataCamp Team
21 septembre 2018
Deduce the Number of Layers and Neurons for ANN
There is an optimal number of hidden layers and neurons for an artificial neural network (ANN). This tutorial discusses a simple approach for determining the optimal numbers for layers and neurons for ANN's.
Ahmed Gad
11 septembre 2018
Ensemble Modeling Tutorial: Explore Ensemble Learning Techniques
In this tutorial, you'll learn what ensemble is and how it improves the performance of a machine learning model.
Zoumana Keita
30 mars 2023
Machine Learning Basics - The Norms
Learn linear algebra through code and visualization.
Hadrien Jean
4 septembre 2018
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