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fundamental-k-means-clustering
Demonstrate fundamental clustering method using K-means (Unsupervised Learning Algorithm).fundamental-data-outlier-detection
Fundamental data cleaning based on correlation result, and data outlier.flutter-layout
This project aims to provide a code base for students to practice layout techniques.react-html-component-converter
Demonstrate modules to convert html component into react component.textedit-theme-ubuntu
Playground to optimize theme textedit, Ubuntu 20.04twin-mobile
twin-mobileelixir-solution
Elixir solution based on practice in the exercism platformnationalities-currency-utilities
Share resources to get nationalities property and curreny, it usefull in mobile and web apps development.genserver-elixir
Best practice to create CRUD using GenServer Elixircoffee-leaf-disease-cnn
Coffee Leaf Diseases classification using Convulutional Neural Network (Deep Learning). Using Mobilenet architecturesinhealth-operator-paramasidhi-hospital
Inhealth Operator is tools to maintain integration data between Medical Information Systems Paramasidhi - Singaraja and Mandiri Inhealth Insurances.file-renamer
Python Helper to rename files with counter filenameyaru-dark-mac
Repository for gtk 3.20 themes in Ubuntu, based on Yaru themes. Base theme adopted by Yaru-MacosDarknews-scrapper-research-kmeans-tfidf
Research in web scrapping technology using K-Means methodology. Aim of this research to collect information and evaluate it, result of evaluation as cluster of information destination in Balisentiment-analysis-albert
Demonstrate pipelines of sentiment analysis research. Use Bidirectional Encoder Representations from Transformers(BERT). Transformers based, a deep learning model in which every output element is connected to every input element, and the weightings between them are dynamically calculated based upon their connectioncoffee-diseases-cnn-exploration
Coffee Leaf Disease Classficiation using CNN (Alexnet, Resnet, MobileNet, EfficientNetB0 - EfficientNetB7)image-batch-compressor
Utility to compress batch image. Support with folder custom destination and dynamic (widht, height) images.final-exam-dataset-diabetes
Demostrate data exploration, cleaning dan transforming data diabetes.csv. This case only to use final examination of data science class.Love Open Source and this site? Check out how you can help us