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| import pandas as pd | |
| import seaborn as sns | |
| import matplotlib.pyplot as plt | |
| from pyexpat import model | |
| from sklearn.model_selection import train_test_split | |
| from sklearn.neighbors import KNeighborsClassifier | |
| from sklearn.metrics import accuracy_score | |
| import joblib |
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| import pandas as pd | |
| import numpy as np | |
| import seaborn as sns | |
| import matplotlib.pyplot as plt | |
| from sklearn.model_selection import train_test_split | |
| df=pd.read_csv(r"C:\Users\hp\PycharmProjects\PythonProject5\Arka_Tea_Traders_Zoho_Ledger-1.csv") | |
| print(df) |
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| import pandas as pd | |
| import seaborn as sns | |
| import matplotlib.pyplot as plt | |
| from sklearn.model_selection import train_test_split | |
| from sklearn.linear_model import LinearRegression | |
| from sklearn.metrics import mean_absolute_error | |
| df= pd.read_csv(r'C:\Users\hp\PycharmProjects\PythonProject5\Salary_Data.csv') | |
| print (df) | |
| sns.jointplot('data=df, x="Years of experience", y="Salary")') |
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| import pandas as pd | |
| import seaborn as sns | |
| import matplotlib.pyplot as plt | |
| from pyexpat import model | |
| from sklearn.preprocessing import LabelEncoder | |
| from sklearn.model_selection import train_test_split | |
| from sklearn.linear_model import LogisticRegression | |
| from sklearn.metrics import accuracy_score |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import pandas as pd | |
| import seaborn as sns | |
| import matplotlib.pyplot as plt | |
| from sklearn.model_selection import train_test_split | |
| from sklearn.linear_model import LinearRegression | |
| from sklearn.metrics import mean_absolute_error | |
| df=pd.read_csv(r"C:\Users\hp\PycharmProjects\PythonProject5\Admission.csv") | |
| print(df) |
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