GitHub / MArya80 / Australia-Weather-Prediction
The model should predict whether is it going to rain the next day coming or it isn't. The models that have been deployed were TensorFlow Sequential, Random Forest Classifier and GradientBoostingClassifier. The best model on both training and test set was achieved with Gradient Boosting Classifier with 95.2% and 85.5% accuracy on the train and test.
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PURL: pkg:github/MArya80/Australia-Weather-Prediction
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 4.98 MB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: over 2 years ago
Pushed at: over 2 years ago
Last synced at: over 1 year ago
Commit Stats
Commits: 13
Authors: 1
Mean commits per author: 13.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/MArya80/Australia-Weather-Prediction
Topics: accuracy-score, australia, data-visualization, dataset, gradient-boosting-classifier, machine-learning, neural-network, prediction, random-forest-classifier, tensorflow, weather, weather-prediction