Data Science & AI Engineering Projects

Repository of my own data science and AI engineering projects.

Fuzzy Cluster Analysis with USArrest Dataset

Simple R script analyzing US Arrest dataset using fuzzy clustering techniques.

Lustro Clustering App

Simple R Shiny application complete with simple login and data visualization

Linear Regression: Multiple Way

Linear regression analysis in multiple ways using Python

Trajectory Model for Forensics

R script used for deterministic modeling of falling body. Used as suplement of one of my medium article (in Bahasa Indonesia): Bunuh Diri atau Dibunuh: Penggunaan Pemodelan Mekanistik dalam Penyelesaian Masalah Forensik

German Credit Risk: Easy EDA and Machine Learning Modeling

Analyzing German Credit Dataset to understand about credit scoring and default risk using R

Cars Price Prediction using R and Tidymodels

Analyzing and predicting cars price using R

Introduction to R: Case Study - Customer Churn

Analyzing customer churn data and build machine learning model to predict and understand the churn phenomena using R

Credit Card Fraud Detection: R & Tidymodels

Analyzing credit card fraud using R and tidymodels

IEEE Fraud Detection

Do fraud detection using machine learning models with R

Python + BigQuery

Do analysis on E-commerce Dataset using Python and BigQuery using several methods/analysis

ANN dan CNN with Python - MNIST and CIFAR

Deep Learning for image classification on MNIST and CIFAR-10 Dataset using Python and Tensorflow

HR Attrition Dashboard

Dashboard that monitor employees statistics and their personal performance complete with prediction of employee attrition and model explanation using LIME. Based on HR Attrition Data on Kaggle

MNIST CNN Application with Canvas and Gradio

Simple application that show the implementation of deep learning model to MNIST data using Tensorflow & Keras and Gradio.

PCA vs T-SNE vs UMAP vs TRIMap vs PaCMAP

This notebook is my experiment on experimenting with several embedding algorithms on several version to check which one is the best algorithm without any hyperparameter tuning.

On Fraud Transaction Embedding

This notebook showcase my experiment on using several embedding algorithms to visualize and understand the impact on parameter tuning to separability of legitimate vs fraud transaction behavior.

On Embedding of Money Laundering Behavior

This notebook showcase my experiment on using several embedding algorithms to visualize and understand the use of embedding model to separate legitimate transaction and money laundering behavior.

PCA vs T-SNE vs UMAP on MNIST Dataset - R Version

This notebook is my experiment on experimenting with several embedding algorithms using R.

Indo Tweet Sentiment Classification using Embedding

This notebook is my experiment on using multiple embedding model for Indonesian tweet sentiment classification by leveraging fasttext & BPE pretrained embedding then use it to train classifier (Logistic Regression and Random Forest) vs FastText Supervised model.