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Title: GitHub - remijul/tutorial: Awesome tutorials for beginners, intermediates and experts in data science :) !

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Description: Awesome tutorials for beginners, intermediates and experts in data science :) ! - remijul/tutorial

Open Graph Description: Awesome tutorials for beginners, intermediates and experts in data science :) ! - remijul/tutorial

X Description: Awesome tutorials for beginners, intermediates and experts in data science :) ! - remijul/tutorial

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Strings formatting and operations	https://github.com/remijul/tutorial/blob/master/Strings_formatting_and_operations.ipynb
Numerical operations	https://github.com/remijul/tutorial/blob/master/Numerical_operations.ipynb
Logical operations	https://github.com/remijul/tutorial/blob/master/Logical_operations.ipynb
Conditions	https://github.com/remijul/tutorial/blob/master/Conditions.ipynb
Loops	https://github.com/remijul/tutorial/blob/master/Loops.ipynb
Functions	https://github.com/remijul/tutorial/blob/master/Functions.ipynb
	https://patch-diff.githubusercontent.com/remijul/tutorial#b-becoming-expert-with-python-programming
Lambda functions	https://github.com/remijul/tutorial/blob/master/Lambda_functions.ipynb
Comprehension lists	https://github.com/remijul/tutorial/blob/master/Comprehension_lists.ipynb
POO	https://github.com/remijul/tutorial/blob/master/La_classe_en_BD.ipynb
Debug your code	https://github.com/remijul/tutorial/blob/master/Debug_your_code.ipynb
	https://patch-diff.githubusercontent.com/remijul/tutorial#c-data-science-tutorials
Getting started with Pandas - Part 1	https://github.com/remijul/tutorial/blob/master/Getting_started_with_Pandas.ipynb
Getting started with Pandas - Part 2	https://patch-diff.githubusercontent.com/remijul/tutorial/blob/master
Exercice - Data exploration on Spotify playlist	https://github.com/remijul/tutorial/blob/master/Exercice_data_exploration_Spotify.ipynb
Getting started with Beautiful Soup - Part 1	https://github.com/remijul/tutorial/blob/master/Web_scraping_Getting_started_with_BeautifulSoup_Part_1.ipynb
Getting started with Beautiful Soup - Part 2	https://github.com/remijul/tutorial/blob/master/Web_scraping_Getting_started_with_BeautifulSoup_Part_2.ipynb
Atelier Dev IA - Ville de Tours	https://github.com/remijul/tutorial/blob/master/Web_scraping_Atelier_Dev_IA.ipynb
Getting started with Seaborn - Part 1	https://github.com/remijul/tutorial/blob/master/Getting_started_with_Seaborn_Part_1.ipynb
Cartography with Leaflet & Folium - Part 1	https://github.com/remijul/tutorial/blob/master/Cartography_with_Leaflet_%26_Folium_part1.ipynb
Text mining & NLP - Part 1	https://github.com/remijul/tutorial/blob/master/Text_mining_%26_NLP_Part_1.ipynb
Text mining & NLP - Part 2 : Sentiment Analysis with VADER (french module)	https://github.com/remijul/tutorial/blob/master/Text_mining_%26_NLP_Part_2.ipynb
	https://patch-diff.githubusercontent.com/remijul/tutorial#d-data-science-use-cases
	https://patch-diff.githubusercontent.com/remijul/tutorial#data-analysis
Data analysis on diamonds dataset	https://github.com/remijul/tutorial/blob/master/Data_analysis_on_Diamonds.ipynb
	https://patch-diff.githubusercontent.com/remijul/tutorial#machine-learning
Supervised ML - Classification of Iris	https://github.com/remijul/tutorial/blob/master/Supervised_learning_Classification_with_KNN_Iris_dataset_part_1.ipynb
Supervised ML - Classification of Penguins - FR	https://github.com/remijul/tutorial/blob/master/Supervised_ML_Classification_of_Penguins.ipynb
Supervised ML - Classification of Airline Passenger Satisfaction - Sentiment analysis	https://github.com/remijul/tutorial/blob/master/Supervised_ML_Classification_Sentiment_Analysis.ipynb
	https://patch-diff.githubusercontent.com/remijul/tutorial#e-machine-learning-tutorials-and-exercices
Data Preprocessing for machine learning	https://github.com/remijul/tutorial/blob/master/Preprocessing.ipynb
Exercice - Preprocessing for machine learning	https://github.com/remijul/tutorial/blob/master/Preprocessing_Exo.ipynb
Pipeline for machine learning	https://github.com/remijul/tutorial/blob/master/Pipeline.ipynb
Exercice - Pipeline for machine learning	https://github.com/remijul/tutorial/blob/master/Pipeline_Exo.ipynb
Cross Validation & Grid Search for machine learning	https://github.com/remijul/tutorial/blob/master/CrossValidation_%26_GridSearch.ipynb
Metrics for classification - Part 1 2-class	https://github.com/remijul/tutorial/blob/master/Metrics_for_classification_Part_1_2_class_classification.ipynb
	https://patch-diff.githubusercontent.com/remijul/tutorial/blob/master
Simple & Multiple Linear Regression	https://github.com/remijul/tutorial/blob/master/Simple_and_Multivariate_Linear_Regression_Supervised_Learning.ipynb
KNN regression	https://github.com/remijul/tutorial/blob/master/KNN_Regression_Supervised_Learning.ipynb
	https://patch-diff.githubusercontent.com/remijul/tutorial/blob/master
Clustering Part 1 - K-means on Iris dataset	https://github.com/remijul/tutorial/blob/master/Clustering_Part_1_K_means_on_Iris_dataset.ipynb
Clustering Part 1 - K-means and PCA on simulated data	https://github.com/remijul/tutorial/blob/master/Clustering_Part_1_K_means_and_PCA_on_simulated_data.ipynb
Clustering Part 2 - Agglomerative Clustering on Fromages dataset	https://github.com/remijul/tutorial/blob/master/Clustering_Part_2_Agglomerative_clustering_on_Fromages_dataset.ipynb
Clustering Part 3 - Clustering on USA Arrests dataset	https://github.com/remijul/tutorial/blob/master/Clustering_Part_3_USA_Arrests_dataset.ipynb
PCA Part 1 - USA Arrests dataset	https://github.com/remijul/tutorial/blob/master/PCA_Part_1_USA_Arrests_dataset.ipynb
	https://patch-diff.githubusercontent.com/remijul/tutorial#f-exercices
	https://patch-diff.githubusercontent.com/remijul/tutorial#g-teaching---evaluation
Readme	https://patch-diff.githubusercontent.com/remijul/tutorial#readme-ov-file
Please reload this page	https://patch-diff.githubusercontent.com/remijul/tutorial
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