Case_Studies : 0_watch_case_study_exercise
The objective of this work was to predict lifestyle using health fitness tracker data at an accuracy of 95% or better; a large pre-existing database on Databricks was used for the analysis.
Case_Studies : 1_case_study_bikeshare
The objective of this case study was to understand how annual members and casual riders use Cyclistic bikes differently, and then predict membership using key features from the Cyclistic data at an accuracy of 95% or better; 78 datasets were downloaded from a public AWS bucket and 64 datasets were ingested into GCP using a bash/GCP script.
Case_Studies : 2_case_study_exercise
The objective of this case study was to gain insight into how consumers are using their smart devices, using 18 Kaggle datasets.