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MLflow PrimerÂ
MLflow PrimerÂ
Description: MLflow facilitates the ML model versioning to streamline performance tuning and retraining efforts for ML models in production. In this project, I provide a primer on how to simply take your on-premise ML project into the MLflow framework.
Earthquake Time-series Analysis using LSTM
Earthquake Time-series Analysis using LSTM
Description: Are there any systematics in the occurrence of earthquakes? And, if there is, can they help us discern how smaller earthquakes grow, leading to larger earthquakes? The earthquake time-series from the last 50 years of historical data from California (source: USGS API) was analyzed using Long-Short-Term-Memory (LSTM) deep neural networks.
NLP analysis of Global Warming Reddit posts
NLP analysis of Global Warming Reddit posts
Description: The reddit users in [Globalwarming] subreddit were in general concerned, while the subreddit users in [Conspiracytheory] reddit were more interested in coming up with conspiracy theories. This contrasting viewpoint may be a good binary target for our NLP analysis, to decipher trends in public awareness towards the global warning issue.
Fire Hazard Damage Assessment based on Satellite Imagery and Deep Learning
Fire Hazard Damage Assessment based on Satellite Imagery and Deep Learning
Description: The goal is to automate the damage assessment by comparing pre-disaster and post-disaster high resolution satellite images to accelerate recovery efforts after natural disasters like fires.
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