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zchtsk/spark-made-easy

Teaching spark by example

Language: JavaScript - Size: 33.1 MB - Last synced: 28 days ago - Pushed: 28 days ago - Stars: 0 - Forks: 0

zchtsk/umami Fork of umami-software/umami

Umami is a simple, fast, privacy-focused alternative to Google Analytics.

Language: TypeScript - Size: 11 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

zchtsk/markdown-simulation

Simulate simple price discovery for randomized items

Language: Svelte - Size: 290 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

zchtsk/speak-write

Simple voice-to-text app for desktop. Leveraging Open AI's Whisper model.

Language: Python - Size: 15.6 KB - Last synced: 4 months ago - Pushed: 10 months ago - Stars: 1 - Forks: 0

zchtsk/product-recsys

Use Word2Vec modeling with grocery transactions to identify product substitutes and similar baskets of items

Language: Python - Size: 120 KB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

zchtsk/multi-objective-recsys

Multi-objective recommender system based on real-world e-commerce sessions

Language: Jupyter Notebook - Size: 417 KB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

zchtsk/model-deployment-methods

Comparison of different ML Model deployment patterns

Language: Python - Size: 422 KB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

zchtsk/gcs-proxy-cloud-run Fork of domZippilli/gcs-proxy-cloud-run

A Cloud Run service to proxy a GCS bucket. Useful for conditional transcoding, certain security features, etc.

Size: 104 KB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

zchtsk/retail-analytics-pyspark

Spark-ML notebooks for forecasting sales and learning price elasticities

Language: Jupyter Notebook - Size: 5.38 MB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0