python Jupyter Notebook
Budget: $10 – $30 AUD
The questions are within the ipynb file.
data source in excel file
the subheadings are below
e.g.
Task1. Number of hidden layers
Set the number of hidden layers as two, and each.....etc.
Task2. Activation functions
Task3. Increase the number of iterations
Task4. Compare the results with Naive Bayes (GaussianNB) and K-Nearest Neighbors (K=1
data source in excel file
the subheadings are below
e.g.
Task1. Number of hidden layers
Set the number of hidden layers as two, and each.....etc.
Task2. Activation functions
Task3. Increase the number of iterations
Task4. Compare the results with Naive Bayes (GaussianNB) and K-Nearest Neighbors (K=1