image_output_11.png image_output_5.png image_output_7.png image_output_4.png image_output_8.png image_output_6.png image_output_12.png image_output_3.png image_output_2.png image_output_1.png image_output_10.png image_output_9.png
import numpy as np

import numpy as np # linear algebra

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

df = pd.read_excel('/kaggle/input/pumpkin-seeds-dataset/Pumpkin_Seeds_Dataset.xlsx')

df.shape

df.duplicated().sum()

df.isna().sum()

numerical_cols = df.select_dtypes(include=np.number).columns.to_list()
numerical_cols[:4]

df.head()