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Développez vos compétences en science des données grâce à nos tutoriels : visualisation avancée avec Tableau, contrôle de version avec Git, et bien plus encore.
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pandas read_csv() Tutorial: Importing Data

Importing data is the first step in any data science project. Learn why today's data scientists prefer the pandas read_csv() function to do this.
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Kurtis Pykes

31 mars 2026

GFLASSO: Graph-Guided Fused LASSO in R

Explore graph-structured multi-task regression with the GFLASSO R package with this tutorial!
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Francisco Lima

26 avril 2018

Absolute and Weighted Frequency of Words in Text

In this tutorial, you'll learn about absolute and weighted word frequency in text mining and how to calculate it with defaultdict and pandas DataFrames.
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Elias Dabbas

24 avril 2018

A Beginner's Guide to Object Detection

Explore the key concepts in object detection and learn how they are implemented in SSD and Faster RCNN, which are available in the Tensorflow Detection API.
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Lars Hulstaert

19 avril 2018

Network Analysis in R: Centrality Measures

Explore the definition of centrality, learn what different types of centrality measures exist in network analysis and pick the best one for a given network!
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Minoo Ashtiani

17 avril 2018

Logistic Regression in R Tutorial

Discover all about logistic regression: how it differs from linear regression, how to fit and evaluate these models it in R with the glm() function and more!
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Vidhi Chugh

17 mars 2023

Getting Started with the Tidyverse: Tutorial

Start analyzing titanic data with R and the tidyverse: learn how to filter, arrange, summarise, mutate and visualize your data with dplyr and ggplot2!
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Hugo Bowne-Anderson

10 avril 2018

Python Pickle Tutorial: Object Serialization

Discover the Python pickle module: learn about serialization, when (not) to use it, how to compress pickled objects, multiprocessing, and much more!
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Natassha Selvaraj

13 décembre 2024

Implementing Autoencoders in Keras: Tutorial

In this tutorial, you'll learn more about autoencoders and how to build convolutional and denoising autoencoders with the notMNIST dataset in Keras.
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Aditya Sharma

4 avril 2018

Tidy Sentiment Analysis in R

Learn how to perform tidy sentiment analysis in R on Prince's songs, sentiment over time, song level sentiment, the impact of bigrams, and much more!
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Debbie Liske

29 mars 2018

Object-Oriented Programming in Python: A Complete Guide

Learn the basics of object-oriented programming in Python: classes, objects, attributes, and methods explained step by step with code examples.
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Théo Vanderheyden

28 mai 2026