Made for Algoritma Trial Class

Mini class Algoritma. Solving some retail business cases using basic data wrangling

Google's Tesseract is an optical character recognition (OCR) engine with support for unicode and the ability to recognize more than 100 languages

Classification use case for BRI Hackathon People Analytics workshop

Classification analysis identifying the employees most likely to get promoted

Intro to RSelenium running local binnary

Topic modeling using tidytext and textmineR package with Latent Dirichlet Allocation (LDA) algorithm.

An attempt to do automate web scraping techniques using rvest package on 250 IMDb top-rated movies. Every step has its own unique string or css identification problem to handle.

Forecasting multi-seasonal data using ARIMA and TBATS. The data is a multiplicative, hourly period.

Predict the song's positive or negative mood by its lyric. This is an NLP classification task using Naive Bayes, Decision Tree, Mars, Random Forest algorithm with their hyperparameter tuning

A fail classification analysis. this project has data leak and algorithm overkill. Anomaly detection, imbalance classification task using Random Forest, Decision Tree, and XGBoost.

A linear regression analysis to find out the influence of alcohol consumption to Happiness Score from 120 countries.

A fail linear regression analysis. This is an example of proof that Linear Regression analysis cannot be done in discrete data. This article talks about Linear Regression analysis about the quality of wine.

Unsupervised learning with Dota 2 heroes data. Create Clustering with Kmeans and Principal Component Analysis

Predict the winner of Dota2 match using Logistic Regression and KNN models (Classification)

Remaking plot from The Economist article using ggplot2 package