[x] Describe our data source(s) [at least 1,000 data points] (LC looking for landmark datasets) (JS uploaded weather data) (CM will look for review and restaurant dataset)
[x] Begin to clean, organize, and perform EDA on data sets to verify they're ready for analysis (JS will start on the weather data) (LC will do this on the landmark data) (CM will do this for review and restaurant dataset)
[x] Define questions we hope to answer (LC)
[x] Decide what technologies will be used (Tableau for mapping and prompting user for desired temp, MongoDB, Jupyter Notebook for EDA, cleaning, machine learning, )
GitHub
[X] Contains readme file that will house our answers to these questions
[X] There's a branch for each member of the team
[x] Readme file includes the communication protocols, including emergency protocols
There are at least 4 commits for each member of the team during the first phase:
[X] Josh 1
[X] Josh 2
[x] Josh 3
[x] Josh 4
[x] Laura 1
[x] Laura 2
[x] Laura 3
[x] Laura 4
[x] Christine 1
[x] Christine 2
[x] Christine 3
[x] Christine 4
[x] Decide on machine learning technique to use
[x] Document why this technique was selected, how model is trained, and how it works
[x] What metrics will be measured
[x] Include mockup of machine learning model (perhaps diagram how it interacts with rest of project)
[x] Model takes in data from the provisional database
[x] Connect machine learning module to database
[x] Include mockup of database
[x] Add sample data that mimics expected final schema to database
GitHub
There are at least 4 commits for each member of the team during the first phase: