bolaubi Goto Github PK

basketballplayer-recruitment

⛹️‍♀️Reduced misallocated recruitment expense by creating a binary classification machine learning model that identifies potential basketball recruits.

bolaubi

Benedict Laiman's profile

canberra-realestatesales-20072019

💵 Reduced overpricing and underpricing by creating a regression-based machine learning model that predicts real estate prices in the Canberra district.

customersegmentation-kmeanskprototypes

🕺Performed customer segmentation using both K-means and K-prototypes algorithms, assisting the marketing team in tailoring their marketing strategies to the target segments.

dsw_danthon_2021-1

🚘Developed a classification-based machine learning model to accurately predict instances of heavy congestion in specific sectors, dates, and hours in several cities in West Java.

insurancecompanyproject

❤️‍🩹 Developed machine learning models to reduce marketing expenses, increase revenue, recommend products to customers, and segment customers in an insurance company

python_mini_exercises

seaborn

This is the Seaborn cheat sheet I made to go along with my Seaborn Tutorial Series

skreper-webscraper

📜 Developed Skreper, a locally-run web-based scraping application designed for Tokopedia and Nike Indonesia. Assisting in data extraction when no public API is available.