Machine Learning With Tensorflow Participant
Bangkit is an approved Kampus Merdeka program supported by the Ministry of Education and Culture of the Republic of Indonesia. It is led by Google, Gojek, Tokopedia, and Traveloka. I was selected to be one of the 3,000 participants out of 29,000 applicants from all over Indonesia. In this program, I learned machine learning with TensorFlow and soft skills to tackle the industries world.During in Bangkit, my team and I (SAMANA) developed a decision support system to cluster which person will get the social assistance based on parameters of financial level. In this capstone project, my roles as a machine learning engineer are - Performing data cleansing for approximately 2700 data with pandas - Building unsupervised learning with K-Means Clustering and Simple Additive Weighting (SAW) Method - Based on the testing, the K-Means clustering program only takes 0,5 seconds to run and 96,3 ms for SAW methods.