Python Bytes - Machine Learning K Means Part 3 Cluster Predictions
#Coded by Andrew C
import pandas as pd
from sklearn import datasets
wine_dataset = datasets.load_wine()
wine = pd.DataFrame(wine_dataset.data, columns=wine_dataset.feature_names)
X = wine[['alcohol', 'total_phenols']]
from sklearn.preprocessing import StandardScaler
scale = StandardScaler()
scale.fit(X)
X_scaled = scale.transform(X)
from sklearn.cluster import KMeans
kmeans = KMeans(n_clusters=3)
kmeans.fit(X_scaled)
y_pred = kmeans.predict(X_scaled)
print("Cluster Predictions:")
print(y_pred)
#datascience #python #coding
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