For this project I think some more visualizations of the data can be done, a number of models are described for the future plan, however a big part of the final project is meant to look at visualizations so I think some more time needs to be spent looking at more visualizations and adding it to the report. Not all of the visualizations will need to be in the Markdown but at least stored in a jupyter notebook, and you can highlight the important ones in the final report. I did like that some visualizations were added but I think we need a bit more.
Consider using SVD to try and visualize the data in 2D and see how color the label by classes and see what those visualizations might look like. Also since you are looking at models like Decision Tree Random Forests looking at the feature importance and visualizing some of those would be good.
I am a bit confused about where the second goal is coming into play however; since I don’t seem to see it in the main report, it appears as a future step. It is very important that you try and accomplish this goal, or at least have some sort of solution to it. So try and make sure you accomplish the goals you have set out, and the other parts like the Unsupervised Learning approach and so on will come after since you need to accomplish your main goals.
Additionally for the Handedness encoding if this an important variable to have and it helps better understand the correlations of your data it would be important to have hence time should be spent finishing it, and once done you can focus on adding additional parts to the project.
For this project I think some more visualizations of the data can be done, a number of models are described for the future plan, however a big part of the final project is meant to look at visualizations so I think some more time needs to be spent looking at more visualizations and adding it to the report. Not all of the visualizations will need to be in the Markdown but at least stored in a jupyter notebook, and you can highlight the important ones in the final report. I did like that some visualizations were added but I think we need a bit more.
Consider using SVD to try and visualize the data in 2D and see how color the label by classes and see what those visualizations might look like. Also since you are looking at models like Decision Tree Random Forests looking at the feature importance and visualizing some of those would be good.
I am a bit confused about where the second goal is coming into play however; since I don’t seem to see it in the main report, it appears as a future step. It is very important that you try and accomplish this goal, or at least have some sort of solution to it. So try and make sure you accomplish the goals you have set out, and the other parts like the Unsupervised Learning approach and so on will come after since you need to accomplish your main goals.
Additionally for the Handedness encoding if this an important variable to have and it helps better understand the correlations of your data it would be important to have hence time should be spent finishing it, and once done you can focus on adding additional parts to the project.