From f742c6ea54a9d906f400f8a0e36c50f54c922b24 Mon Sep 17 00:00:00 2001 From: Jen Looper Date: Tue, 11 May 2021 16:47:10 -0400 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 39874cce..fd03e29f 100644 --- a/README.md +++ b/README.md @@ -65,7 +65,7 @@ By ensuring that the content aligns with projects, the process is made more enga | :-----------: | :--------------------------------------------------------: | :-----------------------------------------------: | --------------------------------------------------------------------------------------------------------- | :-------------------------------------------------: | :-------: | | 01 | [Introduction](Introduction/README.md) | Introduction to Machine Learning | Learn the basic concepts behind Machine Learning | [lesson](Introduction/1-intro-to-ML/README.md) | Amy | | 02 | [Introduction](Introduction/README.md) | The History of Machine Learning | Learn the history underlying this field | [lesson](Introduction/2-history-of-ML/README.md) | Amy | -| 03 | [Introduction](Introduction/README.md) | The Ethics of Machine Learning | What are the important ethical issues that students should consider when building and applying ML models? | [lesson](Introduction/3-Ethics/README.md) | Tomomi | +| 03 | [Introduction](Introduction/README.md) | The Ethics of Machine Learning | What are the important ethical issues that students should consider when building and applying ML models? | [lesson](Introduction/3-ethics/README.md) | Tomomi | | 04 | Introduction to Regression | [Regression](Regression/README.md) | Get started with Python and Scikit-Learn for Regression models | [lesson](Regression/1-Tools/README.md) | Jen | | 05 | North American Pumpkin Prices 🎃 | [Regression](Regression/README.md) | Visualize and clean data in preparation for ML | [lesson](Regression/2-Data/README.md) | Jen | | 06 | North American Pumpkin Prices 🎃 | [Regression](Regression/README.md) | Build Linear and Polynomial Regression models | [lesson](Regression/3-Linear/README.md) | Jen |