Reporting Workflow Automation With BlueAutomata — From my previous article, I have introduced a Python package blueautomata that is capable of providing the framework for reporting workflow automation. In this article, I provide example to integrate the package into application, preferably a Chatbot as an agent as we are seeing user-agent interaction is starting to redefine…

Using Multivariate Logistic Regression & Streamlit — Introduction In this article, we will walk through the steps of creating a flood risk prediction chatbot with interface similar to ChatGPT that is able to predict flood risk of any location in Malaysia and show you the prediction details such as the nearest river, the nearest town and the nearest…

A Package to Automate Reporting Workflow — BlueAutomata, MIT Licensed © Kean Teng 2023 0. Introduction Reporting is a crucial aspect of various sectors across industries to ensure transparency, compliance, decision-making, and accountability. It helps in decision-making to build trust, manage risk and informed decision. Generally, workflows for reporting involves gathering raw data, cleaning of raw data and compiling…

A Quick Guide — MkDocs is a fast, simple and downright gorgeous static site generator that’s geared towards building project documentation. With source files in Markdown configured with a YAML configuration, site can be easily generated and deployed. Material for Mkdocs is build on top of Mkdocs, and it is targeted for project documentation…

A Quick Guide — Let’s talk about Python package publishing. You have spent hours creating a Python package with some wonderful tools in it, and you want to share to others so that they can use it to simplify their work, speed up their workflows, this article will share about the ways that how…

What Can Earth Engine Tell Us from a Geocoordinate? — Google Earth Engine is used by scientists, engineers and developers to detect change, map trends and quantify differences on the Earth’s surface. In this article, I will share about the ways that we can obtain information such as elevation, slope and land cover from Earth Engine by telling the services…

My Kaggle Learning Note — Disclaimer: This article is my learning note from the courses I took from Kaggle. Many people tend to say that machine learning models are “black boxes” because they can make good predictions but cannot understand the logic behind those predictions. In this course, we will learn on methods to extract…

My Kaggle Learning Note — Disclaimer: This article is my learning note from the courses I took from Kaggle. Feature Engineering is the process of creating new features or transforming existing features to improve the performance of a machine-learning model. …

My Kaggle Learning Note — Disclaimer: This article is my learning note from the courses I took from Kaggle. Data cleaning is the process of fixing or removing incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset. It is a key part of data science, and it can be deeply frustrating. What should…