################################## INTRO: ################################## This is a collection of smaller Data Science/ Machine learning projects I have done for both school and personally. Most (all at the time of writing at least) are jupyter notebooks, and within them contain a overview of what the project goal was. However here i will also provide a quick overview of all of them.

################################## NOTES: ################################## Most of these were made with the use of the sklearn python module to create these models

################################## Project list: ##################################

chicago_crashes

Goal: Create a model that would demonstrate what factors contribute to a fataily crash when a bike rider is involed

Data Note: The file was too big and wont let me add it to github (Peronal note, if you want to run this one, use version were the dataset file exists in College/Fall2025/... etc etc)

diabetes_pred

Goal: Using Patient data, predicte whether they have diabetes or not

Data: https://www.cdc.gov/brfss/annual_data/annual_2024.html The following files taken from the above website: 2024 BRFSS Codebook CDC 2024 BRFSS Data (ASCII)

Data Note: The ASCII file was too big and wont let me add it to github (Peronal note, if you want to run this one, use version were the dataset file exists in College/Fall2025/... etc etc)

federalist_papers_authors

Goal: Predict the authors of the 12 federalist papers with disputed authorship

Data: My instructor provided it

kaggle_class_project

Goal: Predict labels based on features (using fake dataset my teacher made)

Data: My instructor provided it

Score: test_set_1: score: 18.568 (Rank 1 in the class) test_set_2: score: 16.185 (Rank 4 in the class)

NOTE: I think the 'score' in Kaggle is the MSE score but I dont know for sure

kaggle_housing

Goal: Predict hosuing prices

Data: Kaggle provided

seattle_bike_crossing

Goal: Determine trends in how often people cross a certain bridge in seattle (which has a device to see how many bikes cross it each day)

Data: Take from the following website: https://data.seattle.gov/Transportation/Fremont-Bridge-Bicycle-Counter/65db-xm6k/about_data