Hello all! I have writing on Medium for some time, but I just realized that I never create a complete About Me page — well, here it is. My name is Cornellius Yudha Wijaya and I am originally came from Indonesia. Currently, I have a full-time job as a Data…

Which pandas data frame EDA packages suit you? — As a data scientist, our work would always involve exploring data or often called Exploratory Data Analysis (EDA). The purposes of exploring data are to know our data better and grasp what we are dealing with. Previously, exploring data using the pandas data frame is a big hassle because we…

Create simple financial dashboard data in this tutorial — Financial data is among the most sought as their insight was useful in decisions. That’s why data such as stock price, market insight, and company information could be precious if we process it right. As a data person, one possible work is to explore available data and present it in…

Enhance your software development toolset with intelligent agents — Generative AI has become more significant than before in the last few years. With the addition of GPT LLMs that become public via ChatGPT, people's way of working has changed forever. …

Easily clean your data with the prompt — If you are not subscribed as a Medium Member, please consider subscribing through my referral. We are at the height of Large Language Model (LLM) adoption, where much of our textual requirements are provided quickly. From question answering, link searching, and daily task planning to content creation — LLM can…

The AI-powered tool for expanding your words — If you are not subscribed as a Medium Member, please consider subscribing through my referral. Large Language Model (LLM) has improved people's lives. The model could help people by facilitating simple tasks such as answering questions, information searching, and planning. …

How to select important features for your machine learning model — If you are not subscribed as a Medium Member, please consider subscribing through my referral. Feature selection is choosing the most relevant features to the underlying problems. In predictive machine learning, we choose features suitable to improve the model prediction capability. There are many methods to perform feature selection, including…

Learn how Pandas merging functions work with code examples — If you are not subscribed as a Medium Member, please consider subscribing through my referral. It's common in the data work to have multiple datasets from the data source or as the result of data analysis. Sometimes, we want to merge two or more different datasets for various reasons. …

Breaking down the fundamental of the error bar — If you are not subscribed as a Medium Member, please consider subscribing through my referral. Data visualization is a tool for data people to simplify information in a way that humans would understand. The technique lets people quickly catch on to any vital pattern and easily interpret complex data. Depending…