Henry Ha's Data Science Portfolio
Series

Machine learning

Articles in this series

Retaining Subscribers by Machine Learning: How Financial Behaviour Analysis Minimises Churn in Fintech

Jan 10, 202521 min read

1. Introduction In today’s competitive subscription-based landscape, retaining customers is crucial to sustaining business growth and profitability....

Retaining Subscribers by Machine Learning: How Financial Behaviour Analysis Minimises Churn in Fintech

Car Purchase Amount Predictions Using Machine Learning

Jan 10, 202512 min read

1. Introduction Predicting customer purchase behaviors is a crucial aspect of modern business intelligence. In this project, we aim to predict the car...

Car Purchase Amount Predictions Using Machine Learning

Predicting Employee Churn Using Machine Learning with Pycaret and Streamlit

Jan 10, 202513 min read

1. Introduction Employee churn — the phenomenon of employees leaving an organization — is a critical challenge for businesses worldwide. High churn...

Predicting Employee Churn Using Machine Learning with Pycaret and Streamlit

Building a Robust Credit Card Fraud Detection Model with Machine Learning

Jan 10, 202521 min read

1. Introduction Credit card fraud is a significant challenge for the financial industry, with billions of dollars lost annually to fraudulent...

Building a Robust Credit Card Fraud Detection Model with Machine Learning

Fake News Detection with Machine Learning: A Step-by-Step Guide

Jan 10, 202513 min read

1. Introduction Fake news has become a pressing issue in today’s digital world, with false information spreading rapidly across social media...

Fake News Detection with Machine Learning: A Step-by-Step Guide

Enhanced Loan Status Prediction: Comparing Logistic Regression and SVM Models

Jan 10, 202511 min read

1. Introduction Predicting loan status is a critical task in the financial sector, helping lenders make informed decisions on loan approvals. Machine...

Enhanced Loan Status Prediction: Comparing Logistic Regression and SVM Models