Apple Deep learning approaches
Budget: $10 – $120 AUD
I have written code to predict disease transmission; I need to do the following:
1. Add ARIMA, RNN, CNN, and other spatiotemporal models.
2. Save all output and images as high-quality images.
3. Add different accuracy measurements such as Precision, Recall (Sensitivity), F1-Score, ROC, and AUC in high-quality images.
4. Add lines of code to split the data into 70% training and 30% testing.
5. Correlation between confirmed cases and main factors causing disease transmission.
6. The same models we apply on three temporal intervals (weekly, monthly, and yearly)
7. Apply feature importance and model explanation.
1. Add ARIMA, RNN, CNN, and other spatiotemporal models.
2. Save all output and images as high-quality images.
3. Add different accuracy measurements such as Precision, Recall (Sensitivity), F1-Score, ROC, and AUC in high-quality images.
4. Add lines of code to split the data into 70% training and 30% testing.
5. Correlation between confirmed cases and main factors causing disease transmission.
6. The same models we apply on three temporal intervals (weekly, monthly, and yearly)
7. Apply feature importance and model explanation.