A machine learning model for the prediction of optimal growth temperature of microorganisms and enzyme catalytic optima
-
Updated
Sep 30, 2020 - Python
A machine learning model for the prediction of optimal growth temperature of microorganisms and enzyme catalytic optima
Code to go with the https://doi.org/10.1101/271569 publication. Downloads html pages from culture-collection centers and mines these for growth temperature data.
Ingest code to convert nClimGrid ASCII datsets into NetCDF
A small script to fetch temperature data from my Mac using iStatistica API, adding a random value into file, and write its contents into disk as JSON for ingesting to Splunk.
I developed a machine learning pipeline to forecast daily maximum air temperature using historical weather data from the Gurteen meteorological station (Height: 75m, Latitude: 53.035). The project involved data cleaning, feature engineering, and application of multiple regression and ML models to predict temperature and compare their performance.
a software application that provides comprehensive insights into historical climate data for individual African countries.
Add a description, image, and links to the temperature-data topic page so that developers can more easily learn about it.
To associate your repository with the temperature-data topic, visit your repo's landing page and select "manage topics."