Skip to content

Commit 3688950

Browse files
authored
Merge pull request #75 from dotnet/fix-broken-links
Fix broken links
2 parents a90329d + 3651def commit 3688950

9 files changed

+2649
-2405
lines changed

README.md

Lines changed: 7 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -43,14 +43,16 @@ Download or clone this repo and open the `machine-learning` folder to get starte
4343
| 2 | Data Prep and Feature Engineering | [02 Notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/02-Data%20Preparation%20and%20Feature%20Engineering.ipynb)
4444
| 3 | Training and AutoML | [03 Notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/03-Training%20and%20AutoML.ipynb)
4545
| 4 | Model Evaluation | [04 Notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/04-Model%20Evaluation.ipynb)
46+
| 5 | AutoML Sweepable API | [05 Notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/05%20-%20AutoML%20Sweepable%20API.ipynb)
47+
| 6 | AutoML Tuners | [06 Notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/06-AutoML%20HPO%20and%20tuner.ipynb)
4648

4749
### End to End (E2E) Notebooks - examples of the entire ML process.
4850
| # | Topic | Github Link |
4951
|---|--------------------------------------------|--------------|
50-
E2E | Classification using AutoML (Iris Dataset) | [Iris E2E AutoML](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Classification%20with%20I
51-
E2E | Forecasting using Regression (Luna Dataset)| [Luna E2E Regression](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Forecasting%20using%
52-
E2E | Forecasting using SSA (Luna Dataset) | [Luna E2E SSA](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Forecasting%20using%20SSA
53-
E2E | Regression using AutoML (Taxi Dataset) | [Taxi E2E AutoML](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Regression%20with%20Taxi%
52+
E2E | Classification using AutoML (Iris Dataset) | [Iris E2E AutoML](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Classification%20with%20Iris%20Dataset.ipynb)
53+
E2E | Forecasting using Regression (Luna Dataset)| [Luna E2E Regression](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Forecasting%20using%20Autoregressive%20with%20Luna%20Dataset.ipynb)
54+
E2E | Forecasting using SSA (Luna Dataset) | [Luna E2E SSA](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Forecasting%20using%20SSA%20with%20Luna%20Dataset.ipynb)
55+
E2E | Regression using AutoML (Taxi Dataset) | [Taxi E2E AutoML](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Regression%20with%20Taxi%20Dataset.ipynb)
5456
E2E | Text Classification API (Yelp Dataset) | [Text Classification API](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Text-Classification-API-with-Yelp-Dataset.ipynb)
5557

5658

@@ -60,6 +62,7 @@ E2E | Text Classification API (Yelp Dataset) | [Text Classification API](ht
6062
REF | Data Processing with DataFrame | [Data Frame](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/REF-Data%20Processing%20with%20DataFrame.ipynb)
6163
REF | Graphs and Visualizations | [Visualizations](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/REF-Graphs%20and%20Visualizations.ipynb)
6264
REF | Kaggle Competitions (Titanic Dataset) | [Kaggle](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/REF-Kaggle%20with%20Titanic%20Dataset.ipynb)
65+
REF | AutoML Search Space | [AutoML Search Space](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/Parameter%20and%20SearchSpace.ipynb)
6366

6467
## .NET Foundation
6568

0 commit comments

Comments
 (0)