Explore the big pictures of disasters in Indonesia through data visualization with Plotly — In part 1, we have already discussed the general overview of Indonesia’s natural disaster trends (2000–2021), and some information is linked to tragic and unforgettable incidents in Indonesia. …

Explore the big pictures of disasters in Indonesia through data visualization with Plotly — Over the last 21 years, the global climate has changed rapidly. It absolutely affects the global condition, such as temperature, sea level, wind speed, etc. Moreover, global weather becomes unpredictable. This condition directly increases the possibility of natural disasters, like drought, wildfire, landslides, tornadoes, etc.

Basic introduction and implementation of Fuzzy c-means clustering algorithm using Python — There are a lot of clustering algorithms out there for the numerical data type. The k-means is one of the basic clustering algorithms that is commonly used by the researcher or analyst. But have you ever heard about the Fuzzy c-means before for clustering? If you haven’t, this article is…

Introduction to Plotly and how to master it in less than 30 minutes — case study using bar plot — In this short article, we will talk about plotly, one of the packages in Python to make a creation of interactive data visualization. Unlike the other packages, like matplotlib, seaborn, or plotnine, this package can make our analysis looks great using animation and dynamic filtering. After you read and practice…

How many people in a group do you need to share a birthday? — Have you ever imagined that reality is not about what you think of? Reality is not that complex but simple. Further, the complex problem actually has a simple solution. It’s quite strange but it’s fact — reality. Welcome to the paradox when the reality seems unreal because it doesn’t work…

How the Genetic Algorithm can handle the optimal local solution in determining the robust initial centroids for the k-means — In the previous article, we have together learned the basic calculation of the Genetic Algorithm in a simple problem case, linear programming. Moreover, we have understood the importance of initial cluster centroids in kmeans. They determine directly the final cluster generated at the end of kmeans algorithm. Today, we will…

Deep understanding of Genetic Algorithm manual calculation for optimization using roulette wheel selection — This article is based on the need to get the robust initial cluster centroids for the k-means clustering algorithm. As we know the k-means calculation is based on the initial cluster centroids. They will lead us to the wrong cluster because of the early convergences — that’s a trap. The…

Using transfer learning, you don’t need to build a convolutional neural network (CNN) from scratch — Nowadays, the growth of methods and algorithms in data science are increasing exponentially. Many companies begin adopting data science in their business. Many of them are for cost optimization, customer engagements, product developments, etc. In several cases, the implementation leads to computer vision.

SNAP is a package for large network analysis and manipulation written in C++ which can boost the calculations — The network is a collection of vertices connected by edges with a certain context. Whereas the graph is having no context. Both network and graph have characteristics — length, distances between two vertices, radius, diameter, etc. In this short tutorial, we will explore how to find the diameter in a…