Human Activity Recognition Using Logistic Regression
Building a Multi-Class Classification Model for Human Activity Recognition Using Logistic Regression
Henry Ha's Data Science Portfolio
Welcome to my data science portfolio, where I write articles about my projects and experiences in the data science domain.
Latest articles
A/B Testing: The Gold Standard
How verifiable and repeatable experiments drive insight and innovation
eCommerce Customer Segmentation Using Machine Learning
Unveiling Customer Behavior with K-Means Clustering for Targeted Business Strategies
Customer Segmentation for an Indian Bank Using Machine Learning
1. Introduction In the competitive banking industry, understanding customers' behavior and needs is critical for delivering personalized services, enhancing customer satisfaction, and improving profitability. By leveraging machine learning techniques...
Predicting Ad Clicks with Logistic Regression: A Step-by-Step Guide Using Python
1. Introduction Predicting user behavior has become an integral part of optimizing online advertising strategies. In this project, we explore how logistic regression can be used to predict whether a user will click on an advertisement based on their ...
Optimizing Vehicle Performance: How Data Predicts Miles Per Gallon
1. Introduction Fuel efficiency, commonly measured in miles per gallon (MPG), is a critical metric in the automotive industry. With rising fuel costs and growing environmental concerns, improving fuel efficiency has become a top priority for both man...
Predicting Restaurant Tips Using Regression Analysis in Python
1. Introduction Tipping behavior at restaurants is a fascinating area of study, often influenced by various factors such as bill amount, group size, and even the time of day. Regression analysis offers a powerful method to explore these relationships...
Credit Card Fraud Prevention with Machine Learning
1. Introduction and Business Problem Definition Credit card fraud is a growing concern in the financial industry, causing significant financial losses to businesses and distress to customers. As digital payment systems continue to evolve, so do the m...
Predicting Flight Delays with Machine Learning: A Comprehensive Guide
1. Introduction Flight delays are a major inconvenience, affecting millions of passengers annually and causing financial strain on airlines. Delays disrupt travel schedules, increase operational costs, and often result in dissatisfied customers. For ...