From b219b206e86be46b5353ed42dfa113df6118ba61 Mon Sep 17 00:00:00 2001 From: Jen Looper Date: Tue, 11 May 2021 09:58:56 -0400 Subject: [PATCH] edits for web app assignment and time series lesson renaming --- README.md | 6 +++--- .../{1-Data-Algorithms => 1-Introduction}/README.md | 0 .../assignment.md | 0 .../translations/README.es.md | 0 TimeSeries/{2-Tasks-Models => 2-ARIMA}/README.md | 0 TimeSeries/{2-Tasks-Models => 2-ARIMA}/assignment.md | 0 .../translations/README.es.md | 0 Web-App/1-Web-App/README.md | 2 +- Web-App/1-Web-App/assignment.md | 12 +++++++++++- 9 files changed, 15 insertions(+), 5 deletions(-) rename TimeSeries/{1-Data-Algorithms => 1-Introduction}/README.md (100%) rename TimeSeries/{1-Data-Algorithms => 1-Introduction}/assignment.md (100%) rename TimeSeries/{1-Data-Algorithms => 1-Introduction}/translations/README.es.md (100%) rename TimeSeries/{2-Tasks-Models => 2-ARIMA}/README.md (100%) rename TimeSeries/{2-Tasks-Models => 2-ARIMA}/assignment.md (100%) rename TimeSeries/{2-Tasks-Models => 2-ARIMA}/translations/README.es.md (100%) diff --git a/README.md b/README.md index e48303c9..6ce423e5 100644 --- a/README.md +++ b/README.md @@ -78,12 +78,12 @@ By ensuring that the content aligns with projects, the process is made more enga | 13 | Introduction to Clustering | [Clustering](Clustering/README.md) | Clean, Prep, and Visualize your Data; Introduction to Clustering | [lesson](Clustering/1-Visualize/README.md) | | | 14 | Exploring Nigerian Musical Tastes 🎧 | [Clustering](Clustering/README.md) | Explore the K-Means Clustering Method | [lesson](Clustering/2-K-Means/README.md) | | | 15 | Exploring Nigerian Musical Tastes 🎧 | [Clustering](Clustering/README.md) | Explore Centroid models for Clustering | [lesson](Clustering/3-Centroid/README.md) | | -| 16 | Introduction to Natural Language Processing | [Natural Language Processing](NLP/README.md) | tbd | [lesson]() | Stephen | +| 16 | Introduction to Natural Language Processing | [Natural Language Processing](NLP/README.md) | tbd | [lesson]() | Stephen | | 17 | Romantic Hotels of Europe ♥️ | [Natural Language Processing](NLP/README.md) | tbd | [lesson]() | Stephen | | 18 | Romantic Hotels of Europe ♥️ | [Natural Language Processing](NLP/README.md) | tbd | [lesson]() | Stephen | | 19 | Romantic Hotels of Europe ♥️ | [Natural Language Processing](NLP/README.md) | tbd | [lesson]() | Stephen | -| 20 | Introduction to Time Series Forecasting | [Time Series](Time-Series/README.md) | Introduction to Time Series Forecasting | [lesson]() | Francesca | -| 21 | ⚡️ World Power Usage ⚡️ Time Series Forecasting with ARIMA ⚡️ | [Time Series](Time-Series/README.md) | Time Series Forecasting with ARIMA | [lesson]() | Francesca | +| 20 | Introduction to Time Series Forecasting | [Time Series](Time-Series/README.md) | Introduction to Time Series Forecasting | [lesson](Time-Series/1-Introduction/README.md) | Francesca | +| 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 | diff --git a/TimeSeries/1-Data-Algorithms/README.md b/TimeSeries/1-Introduction/README.md similarity index 100% rename from TimeSeries/1-Data-Algorithms/README.md rename to TimeSeries/1-Introduction/README.md diff --git a/TimeSeries/1-Data-Algorithms/assignment.md b/TimeSeries/1-Introduction/assignment.md similarity index 100% rename from TimeSeries/1-Data-Algorithms/assignment.md rename to TimeSeries/1-Introduction/assignment.md diff --git a/TimeSeries/1-Data-Algorithms/translations/README.es.md b/TimeSeries/1-Introduction/translations/README.es.md similarity index 100% rename from TimeSeries/1-Data-Algorithms/translations/README.es.md rename to TimeSeries/1-Introduction/translations/README.es.md diff --git a/TimeSeries/2-Tasks-Models/README.md b/TimeSeries/2-ARIMA/README.md similarity index 100% rename from TimeSeries/2-Tasks-Models/README.md rename to TimeSeries/2-ARIMA/README.md diff --git a/TimeSeries/2-Tasks-Models/assignment.md b/TimeSeries/2-ARIMA/assignment.md similarity index 100% rename from TimeSeries/2-Tasks-Models/assignment.md rename to TimeSeries/2-ARIMA/assignment.md diff --git a/TimeSeries/2-Tasks-Models/translations/README.es.md b/TimeSeries/2-ARIMA/translations/README.es.md similarity index 100% rename from TimeSeries/2-Tasks-Models/translations/README.es.md rename to TimeSeries/2-ARIMA/translations/README.es.md diff --git a/Web-App/1-Web-App/README.md b/Web-App/1-Web-App/README.md index 8f0a0f9f..e1608b0d 100644 --- a/Web-App/1-Web-App/README.md +++ b/Web-App/1-Web-App/README.md @@ -268,6 +268,6 @@ Using a model this way, with Flask and a pickled model, is relatively straightfo ## Review & Self Study -**Assignment**: [Assignment Name](assignment.md) +**Assignment**: [Try a different model](assignment.md) diff --git a/Web-App/1-Web-App/assignment.md b/Web-App/1-Web-App/assignment.md index 346ffdae..bee297f7 100644 --- a/Web-App/1-Web-App/assignment.md +++ b/Web-App/1-Web-App/assignment.md @@ -1 +1,11 @@ -# Assignment \ No newline at end of file +# Try a different model + +## Instructions + +Now that you have built one web app using a trained Regression model, use one of the models from an earlier Regression lesson to redo this web app. You can keep the style or design it differently to reflect the pumpkin data. Be careful to change the inputs to reflect your model's training method. + +## Rubric + +| Criteria | Exemplary | Adequate | Needs Improvement | +| -------------------------- | --------------------------------------------------------- | --------------------------------------------------------- | -------------------------------------- | +| A new web app is presented | The web app runs as expected and is deployed to the cloud | The web app contains flaws or exhibits unexpected results | The web app does not function properly |