Crop Recommendation MLflow EC2
My role. build the hyper tuned ML model and integrated with Streamlit. Final, deploy the model on Amazon EC2.
Project description. I build a crop recommendation ML model by Systematic approach ! process-
1. Data Collection and Features Engineering:
2. Train-Test Split
3. Model Tuning
4. Cross-validation and Hyperparameter Searching:
5. Scikit-Learn Pipeline to Improve Workflow Efficiency
6. User-Friendly Interface
7. Deployment on EC2
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Posted Jul 27, 2024
My role. build the hyper tuned ML model and integrated with Streamlit. Final, deploy the model on Amazon EC2. Project description. I build a crop recommendation
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GitHub - iguptashubham/customer-intent-prediction: Logistic reg…
iguptashubham/ott-churn-eda-ml