Projects
This is my self-study project.
Kaggle Project
I leveraged several datasets from Kaggle to build several variations of a simple machine learning project. The projects I have built are as follows.
This is my final team project for the 2019 Digital Talent Scholarship. We used Fashion MNIST as the processed dataset in CNN modeling. This project features classification modeling with big data, so the neural network model is considered a suitable solution. We implement a neural network in the form of CNN. This is because CNN is quite good as a learning model with data in the form of images.
This project is the result of learning with the DQLab course for data engineering. The code that was built was used for scraping with BeautifulSoup on one of the Wikipedia page, namely Demographics of Indonesia. The URL used is https://id.wikipedia.org/wiki/Demografi_Indonesia.
Database
Learning to create and modify tables in a database with SQL (PostgreSQL). house_rented_property is my first table with PostgreSQL. This table tells property details, such as the house or apartment, that got rented. You can take a look at SQL query I used to create the table and the queries to analyze the table.
Visualization
I use Tableau and Google Sheets for a simple analysis and visualization process. A project I've done using open data Seattle Airbnb and Citi Bike.