[wpdm_package id=’5662′]
[wpdm_package id=’5656′]
import pandas as pd
df = pd.read_csv("./autos_prepared.csv")
df.head()
%matplotlib inline
import matplotlib.pyplot as plt
plt.scatter(df["yearOfRegistration"], df["price"])
plt.show()

X = df[["yearOfRegistration", "price"]]
from sklearn.preprocessing import StandardScaler
scaler = StandardScaler()
X_transformed = scaler.fit_transform(X)
from sklearn.cluster import KMeans
model = KMeans(n_clusters = 3)
model.fit(X_transformed)
labels = model.labels_
%matplotlib inline
import matplotlib.pyplot as plt
plt.scatter(df["yearOfRegistration"], df["price"], c = labels)
plt.show()
