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.
LSTM based Model for Real-time Stock Market Prediction on Unexpected Incidents
Final Project for CMPT-733@SFU
Child labour is a significant problem in most developing countries, damaging, spoiling and destroying children's futures. Child labour can result in extreme bodily and mental harm and even death. To overcome the problem, we have approached a technical solution by creating a model using video classification techniques to detect child labour actvts.
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