From 9cd5795573e01cd01c22791e9b4607258a0962b9 Mon Sep 17 00:00:00 2001 From: Jen Looper Date: Tue, 11 May 2021 16:23:05 -0400 Subject: [PATCH 1/3] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 6ce423e5..39874cce 100644 --- a/README.md +++ b/README.md @@ -86,7 +86,7 @@ By ensuring that the content aligns with projects, the process is made more enga | 21 | ⚡️ World Power Usage ⚡️ Time Series Forecasting with ARIMA ⚡️ | [Time Series](Time-Series/README.md) | Time Series Forecasting with ARIMA | [lesson](TimeSeries/2-ARIMA/README.md) | Francesca | | 22 | Introduction to Reinforcement Learning | [Reinforcement Learning](Reinforcement/README.md) | tbd | [lesson]() | Dmitry | | 23 | Help Peter avoid the Wolf! 🐺 | [Reinforcement Learning](Reinforcement/README.md) | tbd | [lesson]() | Dmitry | -| 24 | Real-World ML Scenarios and Applications | ML in the Wild | Interesting and Revealing real-world applications of classical ML | [lesson](Real-World/1-Applications/README.md) | All | +| 24 | Real-World ML Scenarios and Applications | ML in the Wild | Interesting and Revealing real-world applications of classical ML | [lesson](Real-World/1-Applications/README.md) | Ornella | ## Offline access You can run this documentation offline by using [Docsify](https://docsify.js.org/#/). Fork this repo, [install Docsify](https://docsify.js.org/#/quickstart) on your local machine, and then in the root folder of this repo, type `docsify serve`. The website will be served on port 3000 on your localhost: `localhost:3000`. From f1b7a96e9c0e98cd426b9c78d6f1e6e44c6d4de7 Mon Sep 17 00:00:00 2001 From: Jen Looper Date: Tue, 11 May 2021 16:46:23 -0400 Subject: [PATCH 2/3] Update README.md --- Real-World/1-Applications/README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/Real-World/1-Applications/README.md b/Real-World/1-Applications/README.md index f79b6041..70492858 100644 --- a/Real-World/1-Applications/README.md +++ b/Real-World/1-Applications/README.md @@ -33,6 +33,8 @@ One of the major consumers of classical machine learning models is the finance i ### Forest management ### Motion sensing of animals +### Energy Management + This article discusses in detail how clustering and time series forecasting help predict future energy use in Ireland, based off of smart metering: https://www-cdn.knime.com/sites/default/files/inline-images/knime_bigdata_energy_timeseries_whitepaper.pdf ## Insurance From f742c6ea54a9d906f400f8a0e36c50f54c922b24 Mon Sep 17 00:00:00 2001 From: Jen Looper Date: Tue, 11 May 2021 16:47:10 -0400 Subject: [PATCH 3/3] 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 |