Cognitive Distortion Identifier using Sklearn and Streamlit

Worked on:
-design
-probability (top 3 cog D) and confidence percentage
-response to input from user (trained from data, using KNN)
-graph
-history
-fixed bugs

Trying to get back in sklearn, ML language in python.
Things I worked on:
-load data
-encode data
-train data
-predict data
-print model accuracy
basically used the model to train and predict data