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Episode 19. Supervised Learning
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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
#deeplearning #finance #machinelearning #artificialintelligence #AI
(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
#deeplearning #finance #machinelearning #artificialintelligence #AI