How You Process the Data (Including Data Standardization) - Data Visualization Assignment Help

Assignment Task

Coursework Details

The challenge This coursework is about developing a classifier on synthetic data composed by several observations, many independent variables and one nominal dependent variable. Your goal is to build a predictive model for the dependent variable y.

Individual Report

Goal of the individual submission is to show how you, individually, are able to train, tune, validate and use a supervised model to make predictions.

As your report submission, you need to export your individual Jupyter Notebook file into an appendix of the report document. The submitted report needs to cover the following points:

How you process the data (including data standardization). 

 How you train your model.

How you tune your model. 

How you validate your model.

How you use your model to make predictions.

How you interpret your tuned model.

How you choose the model offering the best bias-variance trade-off. 

Discussion of the time complexity of your whole method, including all the above steps. 

For each of the above points, add plenty of information to motivate your choices.

JUPYTER CODE: Please give comments in your code. The comment headers could be the same as that of your report so that each section of the report can be mapped to the comment.

Tips for a good submission

Tip 1: Importance of storytelling Imagine to deliver your message to a non-technical audience who needs to understand, from your comments, the high-level problem and solution you are adopting. Submissions containing only lines of Python code, without a good storytelling will be poorly evaluated, even if the technical part is correct.

 Tip 2: Be critical Remember that your submission needs to provide evidence that you have acquired the critical mindset to solve Data Science problems. Therefore, your explanatory text needs to motivate and support well all your choices.

Tip 3: Be concise and on-topic Short and sharp submissions where you discuss and apply your critical thinking to comment the crucial and unique challenges of your project are way better than unnecessary long submissions. Long off-topic and irrelevant text is counterproductive (as example, long text reporting back all the theory studied in class)

 Final note...Note that this coursework does not have a single good solution. You can design a numerous valid variations and your work will be assessed accordingly. What is important is that the implemented solution is realistic and that it is supported by credible explanations.

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