The dataset describes the weather at Raleigh-Durham International Airport, located in North Carolina, United States from 2017 - 2022. The dataset was collected by the local government in this area. The web application is built with Flask, and the charts are created by Plotly in the back-end, then converted to JSON and sent to the front-end to be processed by JavaScript.
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Website that allows Yugioh player to convert Yugioh cards into a Microsoft Word document. The website is built with Flask, and the cards are converted into a Microsoft Word document using the Python-docx library. The website also uses the Yugioh API and web crawling to get the cards' information.
Website's URL View Project
Using Selenium and BeautifulSoup4 to crawl house data from chotot.com website and their coordinates from Google Map, then using K-mean clustering to group the data into 3 clusters. The data is then visualized using Matplotlib and Seaborn.
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Certificate at DataFlair's course on Big Data. Throughout the course, I was able to pick up various skills such as Hadoop and Linux. The Hadoop ecosystem was to process large amounts of data.
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In charge of running and managing IUH AI's Club, host workshops, classes and activities for Data Science students at IUH.
