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covid19_dailycase_prediction

In this project, I'm making a simple predictive model to predict the trend of COVID-19 daily cases in Indonesia in a certain period of time using a polynomial linear regression algorithm.

credit_risk_predicting

A good analysis of the borrower's profile is needed in a lending company to minimize the risk of default. Therefore, in this project, a machine learning model will be created with the aim of reducing mistakes in lending money to borrowers in the "bad loan" category by at least 5%.

ecommerce_customers_clustering

In this project, I'm making a simple descriptive model using the K-means algorithm that clustered E-Commerce customers into multiple groups to help the marketing team develop suitable marketing strategies which are expected to have an impact on increasing revenue for the company.

end_to_end_cap

final_project_cap

laptop_price_prediction

Along with the COVID-19 pandemic in all parts of the world, the work-from-home system has begun to be implemented. Therefore company X wants to provide laptops for its employees but is having difficulty estimating a budget due to the various specifications available.

rfm_ecommerce_analysis

New e-commerce is not too sure about the purchase behavior of its customers. They want to be familiar with customer’s purchase behavior Knowing the customer's purchase behavior is important because by knowing it the e-commerce company can apply the right business strategy.

xgboost_maximizing_campaign

There are still very few bank customers who open term deposits. In order to maximize the campaign, a model was created to classify bank customers who are interested in opening term deposits and those who are not interested. With this output model, the marketing team can prioritize contacting customers who are interested in opening a term deposit.