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Thinkful Supervised Learning Capstone Project:

Examining Psychedelics Use and Mental Health Conditions

Google Slides presentation: https://bit.ly/LG-PsychedelicMHCs

An examination in publically-available raw data regarding psychedelics use in US citizens, 2020

Objective: predicting psychedelics use based on certain mental health conditions and/or recent prior knowledge of psychedelic therapeutic use

Google Colab Python notebook code

Conclusions:

• Can predict with 85% accuracy that those with certain mental health conditions AND prior knowledge of psychedelics-as-therapeutic-tool are using psychedelics
• Establishes connection between recreational use as form of self-medicated mental health care
• Connection between psychedelics and mental health care can advance science about:
  • how these compounds work in relation to mental health
  • how to use them safely
  • how to regulate and optimize

Data Analysis:

DATA SOURCE: Psychedelic Mushrooms in the USA: Knowledge, Patterns of Use, and Association With Health Outcomes


Downloadable raw data set

My analysis included:

• Comprehensive EDA
• Hypothesis/Objective formation
• Imbalanced data mitigation:
  • random manual sample generation
  • SMOTE synthetic resampling
  • ROS/RUS synthetic resampling
  • Tomeks/NearMiss synthetic resampling
• Feature engineering
• Benchmarking
• General Logistic Regression predictive modelling
• KNN classification
• Random Forest classification
• Penalized SVM/SVC classification
• Final recommendations based on my findings for further data exploration and industry decisions/progression

December 19, 2022