PROG$25211$ Assignment $1$

Please do not share code, discuss, collaborate, or offer help to others!

Offenders will be prosecuted!

Overview

For this assignment you are going to build a report based on an algorithm you have trained. You will

need to submit both a report as well as your code.

Note: You do not need to make your algorithm perfect. Use how well trained your algorithm is to

provide discussion in your evaluation and conclusion.

Essentially, you must pick a new dataset, train up an appropriate algorithm on it$,$ and then use your

trained AI to answer a new question.

Part $1$: Cover Page and Table of Contents

For your report, create a cover page with the title of your assignment, your name, and your class

number. Include a table of contents as well.

Part $2$: Choose a Dataset.

You can either go to Kaggle or to another site that contains sets of data. Friendly suggestion to choose a

a dataset from a topic that you find interesting, as it will make the assignment easier and more

enjoyable. Provide a link in your report to your dataset.

Part $3$: Ask a Question

In your report, ask a logistic question involving your data. If you think about what we did in class, the

question might be $$Would I survive the Titanic?$.$ There are an infinite number of possible questions $$

choose one your dataset can theoretically answer $($with a bit of AI training$)!$ The question you ask will

be the focus of your assignment. It should be part of the title of your assignment, and is really the end

goal here.

Part $4$: Clean Your Data

You will need to go through your data removing null or empty values, removing columns that are not

relevant to your question, removing duplicate columns, and changing data to numeric or Boolean so

that the ML algorithm can process it$.$ You will need to provide an explanation for each row you are

deleting or altering.

Part $5$: Graph Your Data

You need to provide at least $5$ different graphs of your data in your report. Include the graphs in both

your code and your report. Make sure all graphs are properly labelled with an x and y axis label as

well as a title. Additionally, add a brief description about what each graph represents in your report.

Part $6$: Train and Test Your Algorithm

Use the data you collected to train your algorithm with a logistic regression. Make sure to split your

data into training and testing sets of appropriate sizes. Include the code $($with comments$)$ you used to

train your data in your report.

Part $7$: Evaluate Your Model

Provide an evaluation of your model. Use what you have learned in class to decide if the model is well

trained based on your test data. If your model is not within the $70\%-90\%$ accuracy range explain why

you think it is not accurate. Discuss ideas for how you might improve the accuracy of your model.

Part $8$: Answer Your Question and Conclusion

Now that you have trained and tested your algorithm, try to answer your question from Part $3.$ Enter

data relevant to the question you asked $$ this must be new data that is not already present in your

dataset! Additionally, use this part to provide a brief conclusion to your report. What is the actual

answer to your question based on your AI trained on the data you have and its accuracy?

Use of New Material

You are expected to follow the concepts and libraries taught in class. If you use libraries and code that

is not covered in class, obviously including anything generated by ChatGPT or other AI$,$ you must

provide a reference as to where this code came from. You will face deductions and possibly an

Academic Integrity Breach for your assignment if you do not.

Naming Conventions

Your assignment name should follow the pattern $$A$1\_$FirstName$\_$LastName$.$ This should be for both

the code and the report.

Submission

Your assignment submission must contain the