lab2

import pandas as pd

import seaborn as sns

import matplotlib.pyplot as plt

from sklearn.datasets import fetch_california_housing

california_data = fetch_california_housing(as_frame=True)

data = california_data.frame

correlation_matrix = data.corr()

plt.figure(figsize=(10, 8))

sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt='.2f', linewidths=0.5)

plt.title('Correlation Matrix of California Housing Features')

plt.show()

sns.pairplot(data, diag_kind='kde', plot_kws={'alpha': 0.5})

plt.suptitle('Pair Plot of California Housing Features', y=1.02)

plt.show()

//Ye link copy and paste kr .Time :12.56

https://drive.google.com/file/d/1eLbcuKmeWo_GdHFEF3WnXFBcO2fVkZAe/view?usp=sharing


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