Pinned Repositories
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.
DSW_danthon_2021
bolaubi's Repositories
bolaubi/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.
bolaubi/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.
bolaubi/BasketballPlayer-Recruitment
⛹️♀️Reduced misallocated recruitment expense by creating a binary classification machine learning model that identifies potential basketball recruits.
bolaubi/bolaubi
Benedict Laiman's profile
bolaubi/Canberra-RealEstateSales-20072019
💵 Reduced overpricing and underpricing by creating a regression-based machine learning model that predicts real estate prices in the Canberra district.
bolaubi/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.
bolaubi/InsuranceCompanyProject
❤️🩹 Developed machine learning models to reduce marketing expenses, increase revenue, recommend products to customers, and segment customers in an insurance company
bolaubi/Python_Mini_Exercises
bolaubi/seaborn
This is the Seaborn cheat sheet I made to go along with my Seaborn Tutorial Series