/Python/Plynomial regression implementation python

Plynomial regression implementation python

poly = PolynomialFeatures(degree=2)
X_F1_poly = poly.fit_transform(X_F1)

X_train, X_test, y_train, y_test = train_test_split(X_F1_poly, y_F1,
                                                   random_state = 0)
linreg = LinearRegression().fit(X_train, y_train)

Similar codes

1 vote171 views1 answer
How to Add a overall Title to Seaborn Plots
Python
9 votes178 views3 answers
Get text between two strings python
Python
1 vote141 views1 answer
Python loop every month datetime
Python
0 vote140 views1 answer
Math expressions with matplotlib
Python
13 votes178 views2 answers
Min int python
Python
1 vote173 views1 answer
Django change value and save model object
Python Django
0 vote176 views1 answer
Pd.DataFrame(lm.coef_,X.columns,columns=['Coeff'])
Python
0 vote134 views1 answer
Operator.itemgetter(1) in python
Python
2 votes137 views1 answer
Matplotlib insert text
Python
0 vote141 views1 answer
Count repeated strings map python
Python