Question

• Write a regression model in SCI Kit of learn using python that gets data from a public API.

Answer 1

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.linear_model import linearregression

data=pd.read_csv('data.csv')
x=data.iloc[i,0].values.reshape[-1,1]
y=data.iloc[i,0].values.reshape[-1,1]
lr=LinearRegression()
lr.fit(x,y)
y_pred=lr.predict(x)

plt.scatter(x,y)
plt.plot(y_pred,color="blue")
plt.show()

Explanation:

• The code is design for  linear regression
• To run that code user need to install all library in his platform where he run the code .
• The user should have exel data (data.csv) which file having the data X and Y value store