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Updated video links #31

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Feb 4, 2021
Merged

Updated video links #31

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6 changes: 3 additions & 3 deletions In_Db2_Machine_Learning/Building ML Models with Db2/README.md
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Expand Up @@ -172,7 +172,7 @@ Once the above prerequisites have been met, ensure that:

## 5. Troubleshooting <a name="Troubleshooting"></a>

When using a jupyter notebook, some users may find that they are unable to import a module that has been successfully installed via pip.
When using a Jupyter notebook, some users may find that they are unable to import a module that has been successfully installed via pip.

Check `sys.executable` to see which Python and environment you're running in, and `sys.path` to see where it looks to import modules:

Expand All @@ -188,8 +188,8 @@ If the path in `sys.executable` is not in `sys.path`, you can add it using the f
## 6. Demo Videos <a name="Resources"></a>

Find step-by-step demonstrations here:
- [Classification with Db2](https://youtu.be/jCgschThiRQ)
- [Linear Regression with Db2](https://youtu.be/RpX0iHL97dc)
- [Classification with Db2](https://video.ibm.com/recorded/127807200)
- [Linear Regression with Db2](https://video.ibm.com/recorded/127807190)
- [Clustering with Db2](https://video.ibm.com/channel/23952663/video/db2_115_ml_demo_k-means)

Db2 Machine Learning [Documentation](https://www.ibm.com/support/knowledgecenter/SSEPGG_11.5.0/com.ibm.db2.luw.ml.doc/doc/ml_prereqs.html)
2 changes: 1 addition & 1 deletion In_Db2_Machine_Learning/Building a Scoring Pipeline with Db2/README.md
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Expand Up @@ -145,6 +145,6 @@ Alternatively, you can copy the report specification provided [here](Cognos_Repo

## 4. Other resources <a name="Resources"></a>
Find step-by-step demonstrations for creating the scoring pipeline stored procedure here:
- [Building a scoring pipeline inside Db2](https://youtu.be/kreSl8Pjazs)
- [Building a scoring pipeline inside Db2](https://video.ibm.com/recorded/127807226)

Db2 Machine Learning [Documentation](https://www.ibm.com/support/knowledgecenter/SSEPGG_11.5.0/com.ibm.db2.luw.ml.doc/doc/ml_prereqs.html)