Implementation of Machine Learning in Agriculture Crop Recommendation using Naive Bayes Classifier
This project will make crop recommendations using the Naive Bayes algorithm.
URL: Link Download Dataset https://www.kaggle.com/datasets/atharvaingle/crop-recommendation-dataset
URL: End to end Analysis https://www.linkedin.com/pulse/implementation-machine-learning-agriculture-crop-using-wisnu-purnomo-l1roc/?trackingId=nh85pkOhOkJ0iGXrxNZXKw%3D%3D
Nodes
- Scorer6 ×
- Naive Bayes Learner2 ×
- Naive Bayes Predictor2 ×
- Partitioning2 ×
- CSV Reader1 ×
- Decision Tree Learner1 ×
- Decision Tree Predictor1 ×
- K Nearest Neighbor1 ×
- Normalizer1 ×
- Random Forest Learner1 ×
- Random Forest Predictor1 ×
- Statistics1 ×
- Weka Predictor (3.7)1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Ensemble Learning Wrappers
- FeatureKNIME Statistics Nodes
- FeatureKNIME Weka Data Mining Integration (3.7)
Links
- No links available