example of Random Forest Regression in Python

import numpy as np

import matplotlib.pyplot as plt

import pandas as pd

data = pd.read_csv('Salaries.csv')


from sklearn.ensemble import RandomForestRegressor


regressor = RandomForestRegressor(n_estimators = 100, random_state = 0)
 
regressor.fit(x, y) 
Y_pred = regressor.predict(np.array([6.5]).reshape(1, 1))
X_grid = np.arrange(min(x), max(x), 0.01)               

X_grid = X_grid.reshape((len(X_grid), 1)) 

plt.scatter(x, y, color = 'blue')  
 
plt.plot(X_grid, regressor.predict(X_grid),   color = 'green') 

plt.title('Random Forest Regression')

plt.xlabel('Position level')

plt.ylabel('Salary')
plt.show()