An end-to-end example of a serverless machine learning pipeline for multiclass classification on AWS with SageMaker Pipelines, Data Wrangler, Athena and XGBoost.
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Updated
Mar 2, 2022 - TypeScript
An end-to-end example of a serverless machine learning pipeline for multiclass classification on AWS with SageMaker Pipelines, Data Wrangler, Athena and XGBoost.
This is a Flask-based personality detection project with features including real-time prediction, Reddit mining chatbot, NER tag identification. Personality detection is important for understanding human behavior, improving communication and relationships, and even enhancing mental health treatment.
Final Project for CMPT-733@SFU
LSTM based Model for Real-time Stock Market Prediction on Unexpected Incidents
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