Comment(s): It is clear you did some exploration of the data however there is no report so I cannot grade how well it is explored.
Criteria 3: Machine Learning Techniques used correctly
Score Level: 2 (Approaches Expectations)
Comment(s): Techniques are use properly and for their intended purposes however there is no written analysis so I cannot confirm logical interpretation of the ML techniques.
Criteria 4: Report - Are conclusions clear and supported by data?
Score Level: 0
Comment(s): There are no written conclusions.
Criteria 5: Code formatting
Score Level: 4
Comment(s): Code is formatted well but don't be afraid to to put things on a new line if it is getting too long, especially when listing arguments in a function.
Overall Score: 8/16
Overall good start! You seem to understand the techniques and the code runs well. However the main purpose of the project was to provide a report and draw conclusions about the data with evidence. Because the report is absent so I could not grade you on some important metrics.
I apologize, I had been working on my project all day and in my rush to finish I neglected to save my slide deck in the folder that I submitted. I hope you can re-review my project.
Rubric Score
Criteria 1: Valid Python Code
Criteria 2: Exploration of Data
Criteria 3: Machine Learning Techniques used correctly
Criteria 4: Report - Are conclusions clear and supported by data?
Criteria 5: Code formatting
Overall Score: 8/16
Overall good start! You seem to understand the techniques and the code runs well. However the main purpose of the project was to provide a report and draw conclusions about the data with evidence. Because the report is absent so I could not grade you on some important metrics.