Finance, Trading, Stock Market, Mathematics, Technical Analysis.
(self.X.T).dot(self.Y - Y_pred)) / self.m db = -2 * np.sum(self.Y - Y_pred) / self.m # update weights self.W = self.W - self.lr * dW self.b = self.b - self.lr * db return self # Model prediction with current weights and bias def predict(self, X): return X.dot(self.W) + self.b If you found this or