Structural VAR models on Output, Unemployment, Money Supply and inflation in South Africa, where the money supply is represented by a discretised Divisia (törnqvist) index.

enerapan algoritma Naïve Bayes menggunakan bahasa pemrograman R untuk memprediksi variabel Reengagement. Proses analisis meliputi tahap pembersihan data, pembagian data menjadi training set dan testing set, serta penerapan metode resampling untuk mengatasi ketidakseimbangan data. Hasil evaluasi model ditampilkan dalam bentuk confusion matrix dan metrik performa (akurasi, sensitivitas, spesifisitas, dan balanced accuracy).

This webpage presents the Peer-graded Assignment: R Markdown and Leaflet

A Structural VectorAutoregression of real GDP, Unemployment, inflation and money supply (monetary policy)

Jourast Buwana

In this project, I will analyze RNA-seq data from the brain of a 90-year-old woman in the RUSH Alzheimer’s study. The dataset includes information on gene length, FPKM (Fragments Per Kilobase of transcript per Million mapped reads), and TPM (Transcripts Per Million). I will create 3 exploratory plots that give biologically relevant insights into gene expression in this tissue.

This is my qPCR data analysis of the raw CT data from the qPCR of reverse transfection targeting the silencing of ATM in the G7 cell line. The raw data was first organised and cleaned up, then normalised and calculated in the fold expression to then visualise on a graph for further analysis.