From d06cfa7c0fda01f30ca9e941f2da94a59a665cd8 Mon Sep 17 00:00:00 2001 From: Becca McHenry Date: Wed, 8 Jun 2022 16:10:42 -0500 Subject: [PATCH] Add Github Links --- README.md | 34 +++++++++++++++++----------------- 1 file changed, 17 insertions(+), 17 deletions(-) diff --git a/README.md b/README.md index 8a58af7..692115f 100644 --- a/README.md +++ b/README.md @@ -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