Tutoriel Seaborn pour Débutants: les plus Beaux Graphiques en une Ligne de Code

In this Day 6 video of the #100DaysOfML challenge, discover Seaborn, a data visualization library that integrates seamlessly with Matplotlib. Learn how to install and import Seaborn into a Jupyter Notebook environment, and explore its key features for creating efficient and elegant visualizations. Discover how to create bar charts, histograms, box plots, scatter plots, and much more with Seaborn. 00:00 Introduction 01:10 Installing and Importing Seaborn 02:12 Simple Graphs with Seaborn 07:41 Recommended Graph 1: Pairplot 10:20 Barplot, Histogram, and Boxplot with Seaborn 12:41 Heatmap for Analyzing Correlations 15:45 Bonus: Discover Plotly 16:55 Quiz 18:45 Subscribe :) Link to the notebook on GitHub: https://github.com/LeCoinStat/100Jour... Documentation for matplotlib.pyplot: https://matplotlib.org/3.5.3/api/_as_... Link to Seaborn documentation: https://seaborn.pydata.org/ Link to challenge videos:    • Présentation du Challenge 100JoursDeML: Pa...   --------------------------------------- Resources for this challenge: 1- Machine Learning course by Andrew Ng: https://www.coursera.org/learn/machin... 2- Deep Learning course: https://www.coursera.org/specializati... 3- Reinforcement Learning from the University of Alberta: https://www.coursera.org/specializati... #100DaysOfML #TheStat Corner #datascience #machinelearning FOLLOW LeCoinStat YouTube: https://www.youtube.com/channel/UCoin... Instagram:   / lecoin_stat   Facebook:   / lecoinstat   TikTok: https://vm.tiktok.com/ZMLEgAhku/ Discord:   / discord