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Add Github Links to Machine Learning readme #45

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34 changes: 17 additions & 17 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -44,27 +44,27 @@ Download or clone this repo and open the `machine-learning` folder in Visual Stu

### Getting Started Series

| # | Topic | Notebook Link |
|---|--------------------------------------------|-----------------------|
1 | Intro to Machine Learning | [01 Notebook](https://ntbk.io/ml-01-intro)
2 | Data Prep and Feature Engineering | [02 Notebook](https://ntbk.io/ml-02-data)
3 | Training and AutoML | [03 Notebook](https://ntbk.io/ml-03-training)
4 | Model Evaluation | [04 Notebook](https://ntbk.io/ml-04-evaluation)
| # | Topic | VS Notebook Link | Github Link |
|---|--------------------------------------------|------------------------------------------------|-------------|
1 | Intro to Machine Learning | [01 Notebook](https://ntbk.io/ml-01-intro) | [01 Notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/01-Intro%20to%20Machine%20Learning.ipynb)
2 | Data Prep and Feature Engineering | [02 Notebook](https://ntbk.io/ml-02-data) | [02 Notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/02-Data%20Preparation%20and%20Feature%20Engineering.ipynb)
3 | Training and AutoML | [03 Notebook](https://ntbk.io/ml-03-training) | [03 Notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/03-Training%20and%20AutoML.ipynb)
4 | Model Evaluation | [04 Notebook](https://ntbk.io/ml-04-evaluation)| [04 Notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/04-Model%20Evaluation.ipynb)

### End to End (E2E) Notebooks - examples of the entire ML process.
| # | Topic | Notebook Link |
|---|--------------------------------------------|-----------------------|
E2E | Classification using AutoML (Iris Dataset) | [Iris E2E AutoML](https://ntbk.io/ml-e2e-iris)
E2E | Forecasting using Regression (Luna Dataset)| [Luna E2E Regression](https://ntbk.io/ml-e2e-luna-regression)
E2E | Forecasting using SSA (Luna Dataset) | [Luna E2E SSA](https://ntbk.io/ml-e2e-luna-ssa)
E2E | Regression using AutoML (Taxi Dataset) | [Taxi E2E AutoML](https://ntbk.io/ml-e2e-taxi)
| # | Topic | VS Notebook Link | Github Link |
|---|--------------------------------------------|--------------------------------------------------------------|-------------|
E2E | Classification using AutoML (Iris Dataset) | [Iris E2E AutoML](https://ntbk.io/ml-e2e-iris) | [Iris E2E AutoML](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Classification%20with%20Iris%20Dataset.ipynb)
E2E | Forecasting using Regression (Luna Dataset)| [Luna E2E Regression](https://ntbk.io/ml-e2e-luna-regression)| [Luna E2E Regression](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Forecasting%20using%20Regression%20with%20Luna%20Dataset.ipynb)
E2E | Forecasting using SSA (Luna Dataset) | [Luna E2E SSA](https://ntbk.io/ml-e2e-luna-ssa) | [Luna E2E SSA](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Forecasting%20using%20SSA%20with%20Luna%20Dataset.ipynb)
E2E | Regression using AutoML (Taxi Dataset) | [Taxi E2E AutoML](https://ntbk.io/ml-e2e-taxi) | [Taxi E2E AutoML](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Regression%20with%20Taxi%20Dataset.ipynb)

### Reference Notebooks
| # | Topic | Notebook Link |
|---|--------------------------------------------|-----------------------|
REF | Data Processing with DataFrame |[Data Frame](https://ntbk.io/ml-ref-data-frame)
REF | Graphs and Visualizations |[Visualizations](https://ntbk.io/ml-ref-visualizations)
REF | Kaggle Competitions (Titanic Dataset) |[Kaggle](https://ntbk.io/ml-ref-kaggle-titanic)
| # | Topic | VS Notebook Link | Github Link |
|---|--------------------------------------------|-------------------------------------------------------|-------------|
REF | Data Processing with DataFrame |[Data Frame](https://ntbk.io/ml-ref-data-frame) | [Data Frame](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/REF-Data%20Processing%20with%20DataFrame.ipynb)
REF | Graphs and Visualizations |[Visualizations](https://ntbk.io/ml-ref-visualizations)| [Visualizations](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/REF-Graphs%20and%20Visualizations.ipynb)
REF | Kaggle Competitions (Titanic Dataset) |[Kaggle](https://ntbk.io/ml-ref-kaggle-titanic) | [Kaggle](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/REF-Kaggle%20with%20Titanic%20Dataset.ipynb)

## .NET Foundation

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