File tree Expand file tree Collapse file tree 1 file changed +2
-2
lines changed
articles/machine-learning/service Expand file tree Collapse file tree 1 file changed +2
-2
lines changed Original file line number Diff line number Diff line change @@ -35,8 +35,8 @@ The following table lists common automated ML use cases.
35
35
36
36
Classification| Regression | Time series forecasting
37
37
---|---|---
38
- [ Fraud Detection] ( https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/classification-credit-card-fraud/auto-ml-classification-credit-card-fraud.ipynb ) |[ CPU Performance Prediction] ( https://github.com/Azure/MachineLearningNotebooks/blob/master /how-to-use-azureml/automated-machine-learning/regression-hardware-performance/auto-ml-regression-hardware-performance.ipynb ) |[ Demand Forecasting] ( https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/forecasting-energy-demand/auto-ml-forecasting-energy-demand.ipynb ) |
39
- [ Marketing Prediction] ( https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/classification-bank-marketing/auto-ml-classification-bank-marketing.ipynb ) |[ Material Durability Prediction] ( https://github.com/Azure/MachineLearningNotebooks/blob/master /how-to-use-azureml/automated-machine-learning/regression-concrete-strength/auto-ml-regression-concrete-strength.ipynb ) |[ Sales Forecasting] ( https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/forecasting-orange-juice-sales/auto-ml-forecasting-orange-juice-sales.ipynb )
38
+ [ Fraud Detection] ( https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/classification-credit-card-fraud/auto-ml-classification-credit-card-fraud.ipynb ) |[ CPU Performance Prediction] ( https://github.com/Azure/MachineLearningNotebooks/blob/37541b10714f9337dbbae721bea494272dc7d151 /how-to-use-azureml/automated-machine-learning/regression-hardware-performance-explanation-and-featurization /auto-ml-regression-hardware-performance-explanation-and-featurization .ipynb ) |[ Demand Forecasting] ( https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/forecasting-energy-demand/auto-ml-forecasting-energy-demand.ipynb ) |
39
+ [ Marketing Prediction] ( https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/classification-bank-marketing-all-features /auto-ml-classification-bank-marketing-all-features .ipynb ) |[ Material Durability Prediction] ( https://github.com/Azure/MachineLearningNotebooks/blob/37541b10714f9337dbbae721bea494272dc7d151 /how-to-use-azureml/automated-machine-learning/regression-concrete-strength/auto-ml-regression-concrete-strength.ipynb ) |[ Sales Forecasting] ( https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/forecasting-orange-juice-sales/auto-ml-forecasting-orange-juice-sales.ipynb )
40
40
41
41
## How automated ML works
42
42
You can’t perform that action at this time.
0 commit comments