My Projects
Here are some of the projects I have worked on
R Publisher User Base System.
Machine Learning: LASSO
This project invovle the application of Least Absolute Shrinkage and Selection Operator (LASSO) For Penalizing a Logistic Regression ModeL use for travelling approval
Machine Learning: Naive Bayes
Exploring the Application of Naive Bayes Algorithm Classifier: Theory, Implementation, and Evaluation in Solving the Airline Prediction Problem.
Machine Learning: Retention Model
Applied AI: A Case Study of Retention Modeling at Scholastic Traveling Company Using Penalize Weight - LASSO.
Machine Learning: Happiness prediction
Machine Learning for Happiness Prediction involves using algorithms to analyze data and identify factors that influence individual or societal happiness.
Machine Learning: Healthcare Cost
This project employs machine learning techniques to identify and analyze the key factors driving the high cost of healthcare.
Machine Learning: Several Supervised
This project utilizes several type of supervised machine learning techniques to predict the aggressiveness of fish based on various biological and environmental factors.
Data Analysis: System Usability test
This project involves conducting a comprehensive data analysis of system usability tests to evaluate the user-friendliness and efficiency of a software application..
Machine Learning: Healthcare status prediction
This project leverages machine learning algorithms to predict individuals' healthcare status based on a variety of health-related data.