Pembuatan laporan mengenai machine learning pertemuan satu dengan judul praktikum yaitu "FEATURE ENGINEERING"

This shows the output of plotting functions from the package rwf for visualising group means, interactions, and ANOVA model diagnostics. The plots accompany ANOVA results: they show what the model found (means plots, interaction plots) and whether its assumptions hold (diagnostic plots).

This shows the output of a from-scratch, base-R implementation of unidimensional IRT from the package rwf. The functions compute the item response function with optional guessing and inattentiveness parameters (compute_unidimensional_theta), item and test information for the 1PL, 2PL and 3PL models (compute_info_1pl, compute_info_2pl, compute_info_3pl), standard errors (compute_se_theta), and Maximum Likelihood ability estimates with a Newton-Raphson routine (compute_unidimensional_ability).

This shows the output of linear regression functions from the package rwf. The functions cover scatterplot visualisation and full regression reporting for both simple and multiple regression models.

All company data from TEJPRO