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METADATA.json
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METADATA.json
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{
"name": "Python pour la data science",
"abstract": "Approfondissement de Python pour la data science : manipulation de données, visualisation, modélisation, traitement du langage naturel",
"authors": ["Lino Galiana"],
"types": ["Notebook Python"],
"tags": ["consolidate", "learn"],
"category": "datascience with R and Python",
"imageUrl": "https://raw.githubusercontent.com/InseeFrLab/www.sspcloud.fr/main/src/app/assets/img/python.jpg",
"sections": {
"manipulation": {
"name": "Manipulation de données",
"abstract": "Manipulation et récupération automatisée de données",
"chapters": [
"01_numpy",
"02a_pandas_tutorial",
"02b_pandas_TP",
"03_geopandas_tutorial",
"04a_webscraping_TP",
"04c_API_TP"
]
},
"visualisation": {
"name": "Visualisation de données",
"abstract": "Graphiques, cartes, et visualisations interactives",
"chapters": [
"matplotlib",
"maps"
]
},
"modelisation": {
"name": "Modélisation",
"abstract": "Preprocessing, apprentissage supervisé et non supervisé, évaluation de modèles",
"chapters": [
"0_preprocessing",
"1_modelevaluation",
"2_SVM",
"3_regression",
"4_featureselection",
"5_clustering",
"6_pipeline"
]
},
"NLP": {
"name": "Traitement du langage naturel",
"abstract": "Analyse et modélisation des données textuelles",
"chapters": [
"01_intro",
"02_exoclean",
"03_lda",
"04_word2vec",
"05_exo_supp"
]
}
}
}