Machine Learning, Investment, AI, Sklearn, Quant.
tscv.split(X_scaled): X_train, X_test = X_scaled[train_index], X_scaled[test_index] y_train, y_test = y_1.iloc[train_index], y_1.iloc[test_index] # Train a simple Logistic Regression model model = LogisticRegression() model.fit(X_train, y_train) # Predict and evaluate y_pred = model.predict(X_test)