Merge pull request #17 from NIGMS/ross-link-repair

Ross link repair
NIGMS · Nov 15, 2024 · 9f7a7b0 · 9f7a7b0
2 parents 4bb9908 + e344326
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diff --git a/AWS/1- Intro to Machine Learning Decision Trees.ipynb b/AWS/1- Intro to Machine Learning Decision Trees.ipynb
@@ -383,7 +383,7 @@
     "\n",
     "- [COVID cases data (California Health and Human Services Agency)](https://data.chhs.ca.gov/dataset/covid-19-time-series-metrics-by-county-and-state/resource/046cdd2b-31e5-4d34-9ed3-b48cdbc4be7a)\n",
     "- [COVID vaccination data (Los Angeles Times)](https://github.com/datadesk/california-coronavirus-data)\n",
-    "- [Unemployment data (California Employment Development Dept.)](https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Local-Area-Unemployment-StatisticsdecisionLAUS-/e6gw-gvii)\n",
+    "- [Unemployment data (California Employment Development Dept.)](https://labormarketinfo.edd.ca.gov/data/unemployment-and-labor-force.html)\n",
     "- [Election data (Harvard University)](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ)\n",
     "\n",
     "***Libraries/Packages***\n",

diff --git a/AWS/3- Practice.ipynb b/AWS/3- Practice.ipynb
@@ -98,7 +98,7 @@
     "\n",
     "- [COVID cases data (California Health and Human Services Agency)](https://data.chhs.ca.gov/dataset/covid-19-time-series-metrics-by-county-and-state/resource/046cdd2b-31e5-4d34-9ed3-b48cdbc4be7a)\n",
     "- [COVID vaccination data (Los Angeles Times)](https://github.com/datadesk/california-coronavirus-data)\n",
-    "- [Unemployment data (California Employment Development Dept.)](https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Local-Area-Unemployment-StatisticsdecisionLAUS-/e6gw-gvii)\n",
+    "- [Unemployment data (California Employment Development Dept.)](https://labormarketinfo.edd.ca.gov/data/unemployment-and-labor-force.html)\n",
     "- [Election data (Harvard University)](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ)\n",
     "\n",
     "***Libraries/Packages***\n",

diff --git a/AWS/4- Practice - Answer Key.ipynb b/AWS/4- Practice - Answer Key.ipynb
@@ -99,7 +99,7 @@
     "\n",
     "- [COVID cases data (California Health and Human Services Agency)](https://data.chhs.ca.gov/dataset/covid-19-time-series-metrics-by-county-and-state/resource/046cdd2b-31e5-4d34-9ed3-b48cdbc4be7a)\n",
     "- [COVID vaccination data (Los Angeles Times)](https://github.com/datadesk/california-coronavirus-data)\n",
-    "- [Unemployment data (California Employment Development Dept.)](https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Local-Area-Unemployment-StatisticsdecisionLAUS-/e6gw-gvii)\n",
+    "- [Unemployment data (California Employment Development Dept.)](https://labormarketinfo.edd.ca.gov/data/unemployment-and-labor-force.html)\n",
     "- [Election data (Harvard University)](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ)\n",
     "\n",
     "***Libraries/Packages***\n",

diff --git a/AWS/README.md b/AWS/README.md
@@ -80,7 +80,7 @@ All original data from this module was originally sourced from the following sit
 
 - [COVID cases data (California Health and Human Services Agency)](https://data.chhs.ca.gov/dataset/covid-19-time-series-metrics-by-county-and-state/resource/046cdd2b-31e5-4d34-9ed3-b48cdbc4be7a)
 - [COVID vaccination data (Los Angeles Times)](https://github.com/datadesk/california-coronavirus-data)
-- [Unemployment data (California Employment Development Dept.)](https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Local-Area-Unemployment-StatisticsdecisionLAUS-/e6gw-gvii)
+- [Unemployment data (California Employment Development Dept.)](https://labormarketinfo.edd.ca.gov/data/unemployment-and-labor-force.html)
 - [Election data (Harvard University)](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ)
 
 We subsequently picked only certain variables of interest, cleaned and created a composite dataset for the years 2020 and 2021 from the sources listed above. **We manipulated the variable named "Unemployment_rate" by using the 2020 rates in both the 2020 and 2021 Datasets**. We then separated these datasets into training, validation, and testing sets for each of these years to streamline the tutorials. Finally, we stored them in our group's [SFSU GitHub repository](https://github.com/MarcMachineLearning/Introduction-to-Machine-Learning/tree/main/Datasets). 
@@ -93,7 +93,7 @@ We subsequently picked only certain variables of interest, cleaned and created a
 
 ## **License for Data**
 
-Text and materials are licensed under a Creative Commons CC-BY-NC-SA license. The license allows you to copy, remix and redistribute any of our publicly available materials, under the condition that you attribute the work (details in the license) and do not make profits from it. More information is available [here](https://tilburgsciencehub.com/about/#license).
+Text and materials are licensed under a Creative Commons CC-BY-NC-SA license. The license allows you to copy, remix and redistribute any of our publicly available materials, under the condition that you attribute the work (details in the license) and do not make profits from it. More information is available [here](https://tilburgsciencehub.com/about).
 
 ![Creative commons license](https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png)
 

diff --git a/GoogleCloud/1- Intro to Machine Learning Decision Trees.ipynb b/GoogleCloud/1- Intro to Machine Learning Decision Trees.ipynb
@@ -1148,7 +1148,7 @@
     "\n",
     "- [COVID cases data (California Health and Human Services Agency)](https://data.chhs.ca.gov/dataset/covid-19-time-series-metrics-by-county-and-state/resource/046cdd2b-31e5-4d34-9ed3-b48cdbc4be7a)\n",
     "- [COVID vaccination data (Los Angeles Times)](https://github.com/datadesk/california-coronavirus-data)\n",
-    "- [Unemployment data (California Employment Development Dept.)](https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Local-Area-Unemployment-StatisticsdecisionLAUS-/e6gw-gvii)\n",
+    "- [Unemployment data (California Employment Development Dept.)](https://labormarketinfo.edd.ca.gov/data/unemployment-and-labor-force.html)\n",
     "- [Election data (Harvard University)](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ)\n",
     "\n",
     "***Libraries/Packages***\n",

diff --git a/GoogleCloud/3- Practice.ipynb b/GoogleCloud/3- Practice.ipynb
@@ -98,7 +98,7 @@
     "\n",
     "- [COVID cases data (California Health and Human Services Agency)](https://data.chhs.ca.gov/dataset/covid-19-time-series-metrics-by-county-and-state/resource/046cdd2b-31e5-4d34-9ed3-b48cdbc4be7a)\n",
     "- [COVID vaccination data (Los Angeles Times)](https://github.com/datadesk/california-coronavirus-data)\n",
-    "- [Unemployment data (California Employment Development Dept.)](https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Local-Area-Unemployment-StatisticsdecisionLAUS-/e6gw-gvii)\n",
+    "- [Unemployment data (California Employment Development Dept.)](https://labormarketinfo.edd.ca.gov/data/unemployment-and-labor-force.html)\n",
     "- [Election data (Harvard University)](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ)\n",
     "\n",
     "***Libraries/Packages***\n",

diff --git a/GoogleCloud/4- Practice - Answer Key.ipynb b/GoogleCloud/4- Practice - Answer Key.ipynb
@@ -99,7 +99,7 @@
     "\n",
     "- [COVID cases data (California Health and Human Services Agency)](https://data.chhs.ca.gov/dataset/covid-19-time-series-metrics-by-county-and-state/resource/046cdd2b-31e5-4d34-9ed3-b48cdbc4be7a)\n",
     "- [COVID vaccination data (Los Angeles Times)](https://github.com/datadesk/california-coronavirus-data)\n",
-    "- [Unemployment data (California Employment Development Dept.)](https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Local-Area-Unemployment-StatisticsdecisionLAUS-/e6gw-gvii)\n",
+    "- [Unemployment data (California Employment Development Dept.)](https://labormarketinfo.edd.ca.gov/data/unemployment-and-labor-force.html)\n",
     "- [Election data (Harvard University)](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ)\n",
     "\n",
     "***Libraries/Packages***\n",

diff --git a/GoogleCloud/README.md b/GoogleCloud/README.md
@@ -82,7 +82,7 @@ All original data from this module was originally sourced from the following sit
 
 - [COVID cases data (California Health and Human Services Agency)](https://data.chhs.ca.gov/dataset/covid-19-time-series-metrics-by-county-and-state/resource/046cdd2b-31e5-4d34-9ed3-b48cdbc4be7a)
 - [COVID vaccination data (Los Angeles Times)](https://github.com/datadesk/california-coronavirus-data)
-- [Unemployment data (California Employment Development Dept.)](https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Local-Area-Unemployment-StatisticsdecisionLAUS-/e6gw-gvii)
+- [Unemployment data (California Employment Development Dept.)](https://labormarketinfo.edd.ca.gov/data/unemployment-and-labor-force.html)
 - [Election data (Harvard University)](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ)
 
 We subsequently picked only certain variables of interest, cleaned and created a composite dataset for the years 2020 and 2021 from the sources listed above. **We manipulated the variable named "Unemployment_rate" by using the 2020 rates in both the 2020 and 2021 Datasets**. We then separated these datasets into training, validation, and testing sets for each of these years to streamline the tutorials. Finally, we stored them in our group's [SFSU GitHub repository](https://github.com/MarcMachineLearning/Introduction-to-Machine-Learning/tree/main/Datasets). 
@@ -95,7 +95,7 @@ We subsequently picked only certain variables of interest, cleaned and created a
 
 ## **License for Data**
 
-Text and materials are licensed under a Creative Commons CC-BY-NC-SA license. The license allows you to copy, remix and redistribute any of our publicly available materials, under the condition that you attribute the work (details in the license) and do not make profits from it. More information is available [here](https://tilburgsciencehub.com/about/#license).
+Text and materials are licensed under a Creative Commons CC-BY-NC-SA license. The license allows you to copy, remix and redistribute any of our publicly available materials, under the condition that you attribute the work (details in the license) and do not make profits from it. More information is available [here](https://tilburgsciencehub.com/about).
 
 ![Creative commons license](https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png)
 

diff --git a/README.md b/README.md
@@ -17,7 +17,7 @@
 
 This module is geared towards beginners and does not require prior knowledge on a specific scientific discipline. The module is divided into three Jupyter notebooks as outlined at the beginning of this document. In addition to the notebooks mentioned, there are videos containing brief explanations about basic concepts in machine learning and what the code does in each step of the notebook. Below is an outline of the videos contained in each notebook with their respective links. These videos are already attached to the notebook.
 
-This module offers two computing pathways: [AWS (Amazon Web Services)](https://github.com/NIGMS/Introduction-to-Data-Science-for-Biology/tree/master/AWS) or [GCP (Google Cloud Platform)](https://github.com/NIGMS/Introduction-to-Data-Science-for-Biology/tree/master/Google%20Cloud). Users can choose their preferred cloud service to run the Jupyter notebooks, ensuring flexibilty and accessibilty based on their existing infrastructure or familairty. Detailed instructions for setting up and using either AWS or GCP for this module are provided within their corresponding folders within this repository. 
+This module offers two computing pathways: [AWS (Amazon Web Services)](https://github.com/NIGMS/Introduction-to-Data-Science-for-Biology/tree/master/AWS) or [GCP (Google Cloud Platform)](https://github.com/NIGMS/Introduction-to-Data-Science-for-Biology/tree/master/GoogleCloud). Users can choose their preferred cloud service to run the Jupyter notebooks, ensuring flexibilty and accessibilty based on their existing infrastructure or familairty. Detailed instructions for setting up and using either AWS or GCP for this module are provided within their corresponding folders within this repository. 
 
 ### 1- Introduction To Machine Learning: Decision Trees (10 video clips)
 
@@ -84,7 +84,7 @@ All original data from this module was originally sourced from the following sit
 
 - [COVID cases data (California Health and Human Services Agency)](https://data.chhs.ca.gov/dataset/covid-19-time-series-metrics-by-county-and-state/resource/046cdd2b-31e5-4d34-9ed3-b48cdbc4be7a)
 - [COVID vaccination data (Los Angeles Times)](https://github.com/datadesk/california-coronavirus-data)
-- [Unemployment data (California Employment Development Dept.)](https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Local-Area-Unemployment-StatisticsdecisionLAUS-/e6gw-gvii)
+- [Unemployment data (California Employment Development Dept.)](https://labormarketinfo.edd.ca.gov/data/unemployment-and-labor-force.html)
 - [Election data (Harvard University)](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ)
 
 
@@ -96,7 +96,7 @@ All original data from this module was originally sourced from the following sit
 
 ## **License for Data**
 
-Text and materials are licensed under a Creative Commons CC-BY-NC-SA license. The license allows you to copy, remix and redistribute any of our publicly available materials, under the condition that you attribute the work (details in the license) and do not make profits from it. More information is available [here](https://tilburgsciencehub.com/about/#license).
+Text and materials are licensed under a Creative Commons CC-BY-NC-SA license. The license allows you to copy, remix and redistribute any of our publicly available materials, under the condition that you attribute the work (details in the license) and do not make profits from it. More information is available [here](https://tilburgsciencehub.com/about).
 
 ![Creative commons license](https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png)