Data Analytics for Oil and Gas Industry using Power BIIn an era where industries increasingly rely on data, the ability to quickly manage and analyze information has become essential…Nov 2, 2024Nov 2, 2024
Sedimentary RocksCurrently, I am diving into the sedimentology, a branch of geology that not only studies rocks but also reveals the long history of Earth’s…Sep 23, 2024Sep 23, 2024
Understanding Popular Python LibrariesLibraries, packages, and modules in Python are often used interchangeably, though they have subtle differences. Essentially, they all…Jun 23, 2024Jun 23, 2024
Phyton IntroductionRecently, I had join a bootcamp that introduced Python, a fundamental programming language in the world of artificial intelligence (AI) and…Jun 16, 2024Jun 16, 2024
Understanding the Role of GIS in Geotechnology: Analysis from the Introductory CourseToday marked my initiation into the intriguing and pivotal realm of Geographical Information Systems (GIS) through an introductory course…Apr 2, 2024Apr 2, 2024
Customer CurnIn an era where market competition is fierce, keeping customers is a critical element to the success of a business. One of the main…Mar 5, 2024Mar 5, 2024
Visualization of Total Rainfall Distribution Data Using Heatmaps.Data visualization in data science is the process of presenting the information contained in data using graphs, charts or other visual…Nov 25, 2023Nov 25, 2023
Unsupervised Machine Learning: K-Means Clustering With RUnsupervised Machine Learning uses machine learning algorithms is used to analyze and cluster unlabeled datasets. These algorithms discover…Jun 19, 20211Jun 19, 20211
Data Cleansing in RData cleaning is one of the most important parts when a data scientist wants to get insight from a data. This data cleaning is an analysis…Jun 19, 2021Jun 19, 2021
