Modul 5 Klasifikasi dengan LDA dan Regresi Logistik Ordinal

A comprehensive data analysis report using R Markdown. This document demonstrates end-to-end data processing workflows, including advanced data cleaning, exploratory data analysis (EDA) of web traffic metrics, and statistical correlation analysis using Pearson matrices. It also features the implementation of Conditional Median Imputation to handle significant missing values in clinical datasets, ensuring statistical integrity and model readiness. Visualized with Matplotlib and R graphic libraries.

Data Analysis of dataset "Predict Autism Spectrum DIsorder (ASD)

Practicum Financial Market