I have deep learning code that needs to be improved, installs the needed library for Jupyter, makes debugging free, and add more features.
Budget: $10 – $30 AUD
The needed features are as follows:
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, AUC.
4. Add lines of code to split the data into 20% training and 80% testing.
5. Correlation between confirmed cases and main factors causing disease transmission.
6. Add additional charts
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, AUC.
4. Add lines of code to split the data into 20% training and 80% testing.
5. Correlation between confirmed cases and main factors causing disease transmission.
6. Add additional charts
Related categories:
Python
Data Processing
Geographical Information System (GIS)
Data Analytics
Deep Learning