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Updated 3 years ago
import warnings
warnings.simplefilter('ignore')
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import pickle
# pickle is used to save the model created by us
df = pd.read_csv('https://raw.githubusercontent.com/ingledarshan/Data-Science-Advanced-Datasets/main/hiring.csv')
df.head()
df.shape
(8, 4)
df.isna().sum()
experience 2
test_score 1
interview_score 0
salary 0
dtype: int64