Episode 19. Supervised Learning

Supervised Learning for Cross-Sectional Analysis
(Predicting Boston Housing Prices)

2. Set Training & Test Data
x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state=123)

3. Standardize Data
# standardize data
x_train = (x_train - mean) / std
x_test = (x_test - mean) / std

4. Define Model
model = Sequential()

5. Compile Model

6. Fit Model

7. Evaluate Model

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