suciaulyaputri Goto Github PK
Name: Suci Aulya Putri
Type: User
Location: Bekasi, Jawa Barat, Indonesia
Name: Suci Aulya Putri
Type: User
Location: Bekasi, Jawa Barat, Indonesia
This project aims to gain businees insight of Online Retail Datasets through Exploratory Data Analysis (EDA) and gain recommendation based on customer segementation through RFM Analysis and K-Means Clustering.
This project aims to gain consumer insight of a multi-category online store through Exploratory Data Analysis (EDA). Various methods are utilised in order to obtain various angles and critically validate the analysis.
This project is focused on making predictions models of medical insurance premium. By applying a linear regression model and evaluating the model, I will illustrate that whether the predictions model results are accurate and can be used to estimate premium prices in the following year.
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