This is the analysis document of the video analysis https://www.youtube.com/watch?v=WqTp0c1AIWI

This is the data processing phase of the resulting video analysis https://www.youtube.com/watch?v=WqTp0c1AIWI

This is the data collection phase of the resulting video analysis https://www.youtube.com/watch?v=WqTp0c1AIWI

This is the compilation of visuals I did in https://husada-plethora.netlify.app/posts/tidytuesday_diwali/diwali

General: Proportions and Trends of Ratings Specific: Topic of Articles by "Snopes Staff" and Not "Snopes Staff" The process is documented in my blog post: https://husada-plethora.netlify.app/posts/tt_2023_10_31/horror_legend

Preparation for further analysis.

Deployment Module

This is the final task from Virtual Internship Experience with ID/X Partners from Rakamin.

Failed to answer all questions, too tired.

My answer for the homework.

Penerapan mikroanalisis dari "Text Analysis with R for Students of Literature” pada cerpen fantasi Perkara Kebatilan yang Agung

I apply non-seasonal ARIMA to forecast the close price of Axie Infinity Shards.

An Unsupervised Learning to discover principal components and clusters on football standard stats of top 5 European League players.

Applying Naive Bayes, Decision Tree, and Random Forest to predict which passengers are transported to an alternate dimension.

Predicting the passengers fate at the hands of cosmic anomaly with logistic regression.

Demonstrating how to use regression model in predicting how many goals Erling Haaland will score in Manchester City

An exploration of the free data provided by Statsbomb that covers Arsenal data of the 2003/2004 era.

A form of data science practice by taking a look into my pathetic musical career.

This is the Capstone Project I worked on in the Google Data Analytics Certification course in Coursera