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-# Trial
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+# Trial
+This is Hunter's branch and my role as square is to continually update the github repository and utilize pull requests in order to merge each team member's respective files into the Master Branch.
+# First Deliverable
+The technology we are using: AWS, pandas, Tableau, jupyter notebook, plotly, matplot, materials project, tensorflow, keras, Spark, Colab, SQL, Postgress. Machine learning model: Linear regression, random forest tree, PCA and Neuron Networks.
+# Second Deliverable
+I am in charge of the Presentation and Storyboard blueprint for the project. I am doing these two components in Google Slides and expect to lay a clear foundation on the explanation of our topic.
+Powerpoint Presentation link:
+
+https://docs.google.com/presentation/d/1W8yCPKtcN6bc81_NDfQyFiJWtKmFfxdz-vIdLw5BoQs/edit?usp=sharing
+
+Storyboard Powerpoint Blueprint link:
+
+https://docs.google.com/presentation/d/1ostZBVuZqJCKaie4cOoh-l3yEGCsaWMxv4Yl2mksWM8/edit?usp=sharing
+
+# Third Deliverable
+I have delved into the Dashboard creating process and with the help of team built an interactive Visualization highlighting the main areas of concern in the machine learning model. 
+
+Dashboard link on Tableau:
+
+https://public.tableau.com/profile/michael5040#!/vizhome/TeamPythonDashboardFINAL/TeamPythonDashboard?publish=yes
+
+Thanks to my team for doing their parts to make this a successful Materials Research Machine Learning Model.
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+### Technologies Utilized in this project:
+The technology we are using: AWS, pandas, jupyter notebook, plotly, matplot, materials project, tensorflow, keras, Spark, Colab, SQL, Postgress. Machine learning model: Linear regression, random forest tree, PCA and Neuron Networks.
+### Database Storage
+The database where all of the data is being stored is through AWS on Amazon. 
+
+
+