dawid33 / cs4287-assignment-1 Goto Github PK

To run the model:

python main.py

Submit a pdf describing:

1. The Data Set (2 marks) a. Visualisation of some of the key attributes is necessary for a top grade b. Any pre-processing such as normalisation applied to the data
2. The network structure and other hyperparameters (2 marks).
3. The Cost / Loss / Error / Objective function (1 mark).
4. The optimiser (1 mark).
5. Cross Fold Validation (2 marks).
6. Results – accuracy and/or precision and/or recall (2 marks). a. Include plots if opting for a top grade.
7. Evaluation of the results (2 marks).
8. Impact of varying a hyperparameter(s) (3 marks)

Submit a Jupyter notebook with the code where:

• The book is named CS4287-Prj1-ID1-ID2
  • Where ID1 and ID2 are the student id numbers of the team members
• The first line in the book is a comment with names and ID numbers of the team members
• The second line in the book should be a comment stating if the code executes to the end without an error.
• The third line in the book should be a comment with a link to the original source where you opted to reuse an existing implementation.
• Every critical line of code MUST be commented by YOU. To demonstrate a deep understanding of that code.

Hand written numbers (minst) Shannon airport weather data

• Read the dataset into python
• (Maybe?) Divide date into separate fields for year / month / day
• Normalize data