Crop Recommendation MLflow EC2
Shubham gupta
Data Scientist
ML Engineer
Data Analyst
Jupyter
Python
scikit-learn
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
