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Use Seattle's public energy data and build a model predicting energy consumption
Clean APIs for data cleaning. Python implementation of R package Janitor
Gym environment for building simulation and control using reinforcement learning
brickllm with langgraph
Jupyter extension to display CPU and GPU power usage and equivalent CO2 emissions
Some little notes from the author for everyone who wants to know or learn about the process that a data scientist must do from the beginning of data collection to making predictions with a model that has been built. These notes are based on the knowledge that the authors have learned and implemented. Enjoy it!
A fast framework for pre-processing (Cleaning text, Reduction of vocabulary, Feature extraction and Vectorization). Implemented with parallel processing using custom number of processes.
A simple tool for cleaning image datasets at a glance.
Data analysis and forecasting applied to World Happiness
Reclassifying Spotify tracks Explicity with LLAMA3-70B built using LangChain
A simple web application built with NextJS to extract tags from booru websites. Just paste the URL of a booru post, and this tool will fetch and display the associated tags, ready for you to copy.