Étude pour l’exportation d’une production de volailles et la conquête de marchés exogènes.

Nettoyage et agrégation des chiffres avec les librairies

"import pandas as pd\n",
"import numpy as np\n",
"import sweetviz as sw"

pour Python,

Réalisation de l’étude avec les librairies :

"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline\n",
"import seaborn as sns\n",
"from sklearn.cluster import KMeans\n",
"import sklearn.cluster as clutr\n",
"from sklearn import datasets\n",
"from sklearn import preprocessing as ppg\n",
"from sklearn import decomposition as dcp\n",
"import sklearn.metrics as skm\n",
"from sklearn.metrics import silhouette_samples, silhouette_score\n",
"from sklearn.preprocessing import MinMaxScaler as mmx\n",
"from sklearn.decomposition import PCA\n",
"import statsmodels.api as sm\n",
"from sklearn.preprocessing import StandardScaler\n",
"from scipy.cluster.hierarchy import dendrogram, linkage\n",
"from sklearn.cluster import AgglomerativeClustering"

pour Python

Présentation PowerPoint

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