This is a project to improve an e-commerce platform feedback system by building an NLP system that can automatically analyze product reviews to extract valuable insights.

Employee Sentiment Track is a project aimed at understanding organizational climate through the analysis of employee opinions. By leveraging sentiment analysis and topic modeling techniques, this p…

This is a project to learn Automatic Speech Recognition (ASR) or Voice Recognition project using Whisper and Wave2Vec. In this project we will fine-tune Whisper from scratch which mean without usin…

This project aims to learn transfer learning and fine tuning using BERT for Text Summarization case. The dataset used consists of ~190k rows, ~10k rows, ~10k rows for train, dev, and test respectiv…

This project aims to conduct sentiment analysis using Twitter data related to the 2019 presidential election in Indonesia. The dataset used consists of 1815 rows of tweet data.

A 4 month course covering basics of ML to deployment of ML and DL model. Tools that I learned: WSL2, Docker, AWS BeanStalk, BentoML, Kubernetes, Serverless DL, TF Serving, and KServe

Project for analyzing various important factors of COVID-19

A project to improve optical fiber function to create a high data quality transfer on multimode optical fiber.

Understanding Pytorch for deep learning

Summary of various modelling code, such as XGBOOST, LGBM, CATBOOST, etc.

Most of these books are downloaded from Springer

Summary of courses in datacamp

This is intended to store the code and knowledge from How to Winning Datascience Competition (COURSERA). So, i can easliy remember what i had learn from this course and copying the code incase i fo…

Code and Summary from learning Probability and Statistics in Data Science using Python by UCSanDiegoX

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