- README File - This document that you're cyrrently reading will provide for you a quick academically structured overview of the project I underwent.
- Modeling Results Notebook - This provides a more in-depth explaination for the most notable points in the modeling project.
- Modeling Journey Notebook - This is for anybody wishing to learn about my process of tackling this project in the most indepth possible way. This includes the code for how I specifically cleaned the data and the modeling techniques that I looked into but did not pan out. This is currently a mess because I don't actually expect anybody to look at it but would be happy to answer any questions if you do find an interest in it.
- Notebook Archive - Folder to keep previous version of notebooks which may still be useful. (Not yet implemented)
With marijuana now legal in California, it's now greatly important to gather data on the newly legal drug. With much of the industry [unregulated and confusing and so much unknown about it] I decided to take the opportunity to do some of my own exploration of the data on the effects on cannabis when treating depression, anxiety and stress. This data was retrieved from this study with the data provided by Strainprint
Cannabis has shown the potential to be a possible treatement for many different ailments from depression to chronic pain. Unfortunatly there has been decades of negative propaganda against cannabis that has given it a stigma and thus only now are people starting to [use it and such]. It is important to perform research and start finding ways to better predict how cannabis might effect one individual or another.
I will be shooting to achive an RMSE score of 0.75 with the target variable being how one feels about thier symptom after the ingestion of cannabis as this would allow me to confidently state that one's symptom would be between a range of two numbers, should they try the cannabis.
The data was gathered by Strainprint which is an app that allows users to track the effects of different cannabis products. [more explaination of the data gathered] . I came upon this data via a study [linked here, and also here are some of the results of the study]
- (Removed data points:)
- (Adjusting data:)
- (Insert visuals of Normal Dist of Before & After)
- (Insert visuals of Correlations)
- (Insert visuals of THC / CBD)
- (Insert visuals of Age / Method)
- (Expland on Baseline)
- (Expland on Random Forest)
- (Expland on Feature Engineering)
- (Expland on Normalization)
- (Expland on Feature Pruning)
- (Expland on Alternative Train Test Split)
- (Expland on Gridsearching)
- (INSERT Final Results & interpretation)
- (Thoughts on improving Model)
- (Thoughts on improving Features)
- (Thoughts on improving Data Gathered)
- Further study on methods as related to age.