update week35
This commit is contained in:
@@ -2571,10 +2571,6 @@ X[:,1] = x
|
||||
X[:,2] = x*x
|
||||
# We split the data in test and training data
|
||||
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)
|
||||
scaler = StandardScaler()
|
||||
scaler.fit(X_train)
|
||||
X_train_scaled = scaler.transform(X_train)
|
||||
X_test_scaled = scaler.transform(X_test)
|
||||
|
||||
# matrix inversion to find beta
|
||||
OLSbeta = np.linalg.inv(X_train.T @ X_train) @ X_train.T @ y_train
|
||||
|
||||
Reference in New Issue
Block a user