GitHub topics: machine-learning-experimentation
mlatinov/-Wild-Blueberry-Yield-Prediction-
This dataset, sourced from Kaggle, provides insights into agricultural productivity by analyzing conditions that impact blueberry growth. Our goal is to develop a predictive model that helps farmers and researchers make data-driven decisions for improving crop yield.
Language: R - Size: 737 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
sshh12/sheet-log
Push Python metrics and plots directly into Google Sheets.
Language: Python - Size: 9.77 KB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
jcdesousa/azure-ml-experiment
Classifying Iris with Decision Forest Algorithm
Language: Jupyter Notebook - Size: 96.7 KB - Last synced at: 10 months ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 0
