Today we will help you with basic tasks involved in machine learning in Python.
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Updated
Jan 12, 2026 - Jupyter Notebook
Today we will help you with basic tasks involved in machine learning in Python.
Multi-model local AI agent demo — five small models (gemma3, qwen3.5, embeddinggemma, GLM-OCR, whisper/piper) collaborating on intent, multi-steps, tools, RAG, and voice.
For Macroecology class - a simple GLM approach to predict tree specie distribution based on environmental predictors.
This repository uses CHIRPS satellite and local station blended precipitation data to analyze and classify drought risk in California’s Central Valley. The focus is to prepare a drought classifier, visualization & analysis, and reproducible ML pipeline.
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