pip install library_name
pip install scikit-learn
import pandas as pd
dataset = pd.read_csv('data.csv')
# ...
from sklearn.preprocessing import StandardScaler
scaler = StandardScaler()
dataset_scaled = scaler.fit_transform(dataset)
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
X = dataset.drop('target', axis=1)
y = dataset['target']
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)
model = LinearRegression()
model.fit(X_train, y_train)
predictions = model.predict(X_test)
from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score
accuracy = accuracy_score(y_test, predictions)
precision = precision_score(y_test, predictions)
recall = recall_score(y_test, predictions)
f1 = f1_score(y_test, predictions)
