Efradgalio
Physics graduate who wants to go to the world of Isekai with help from AI, Machine Learning, and of course the basics of physics. ✌️
@halotechinIndonesia
Pinned Repositories
Automatic-Speech-Recognition
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 using weights from pretrained and compare it with Whisper that already fine-tuned and Wav2Vec.
Code-from-How-To-Winning-DataScience-COURSERA-
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 forgot.
Covid-19-Analysis
Project for analyzing various important factors of COVID-19
Data-Engineering-Final-Project
This is the final project from Data Engineering Bootcamp on DigitalSkola. The project is simply a simple data pipeline end2end from database to data warehouse using GCP & Airflow.
DataCamp-Code
Summary of courses in datacamp
Employee-Sentiment-Tracker
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 project provides valuable insights into the workplace environment.
Image-Reconstruction-on-Multimode-Optical-Fiber-using-Nonlocal-Convolution-Neural-Network
A project to improve optical fiber function to create a high data quality transfer on multimode optical fiber.
MLZoomcamp-2022-Summary
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
President-Election-Sentiment-Analysis
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.
Text-Summarization-with-BERT
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 respectively.
Efradgalio's Repositories
Efradgalio/Image-Reconstruction-on-Multimode-Optical-Fiber-using-Nonlocal-Convolution-Neural-Network
A project to improve optical fiber function to create a high data quality transfer on multimode optical fiber.
Efradgalio/Automatic-Speech-Recognition
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 using weights from pretrained and compare it with Whisper that already fine-tuned and Wav2Vec.
Efradgalio/Code-from-How-To-Winning-DataScience-COURSERA-
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 forgot.
Efradgalio/Covid-19-Analysis
Project for analyzing various important factors of COVID-19
Efradgalio/DataCamp-Code
Summary of courses in datacamp
Efradgalio/Employee-Sentiment-Tracker
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 project provides valuable insights into the workplace environment.
Efradgalio/MLZoomcamp-2022-Summary
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
Efradgalio/Probability-and-Statistics-in-Data-Science-using-Python
Code and Summary from learning Probability and Statistics in Data Science using Python by UCSanDiegoX
Efradgalio/Pytorch-Tutorial
Understanding Pytorch for deep learning
Efradgalio/Text-Summarization-with-BERT
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 respectively.
Efradgalio/AnandaThalia
Config files for my GitHub profile.
Efradgalio/anuraghazra
Efradgalio/Data-Engineering-Final-Project
This is the final project from Data Engineering Bootcamp on DigitalSkola. The project is simply a simple data pipeline end2end from database to data warehouse using GCP & Airflow.
Efradgalio/President-Election-Sentiment-Analysis
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.
Efradgalio/audhiaprilliant
Efradgalio/DataScience-Books
Most of these books are downloaded from Springer
Efradgalio/demo_batch7
Efradgalio/demo_data_ingestion
Efradgalio/digitalskola-dataops-docker
Efradgalio/digitalskola_batch7_efrad
Efradgalio/Efradgalio
My personal repository
Efradgalio/machine-learning-zoomcamp
Efradgalio/Modelling-Code
Summary of various modelling code, such as XGBOOST, LGBM, CATBOOST, etc.
Efradgalio/muhajir29
Efradgalio/ProjekAkhirBasdat
Membuat website online shop sederhana tentang kayu