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Name: Dhika Rangga
Type: User
Bio: Technology & Data Enthusiast
Location: Greater Jakarta, Indonesia
Name: Dhika Rangga
Type: User
Bio: Technology & Data Enthusiast
Location: Greater Jakarta, Indonesia
Apache Airflow 2.0
Some little notes from the author for everyone who wants to know or learn about the process that a data scientist must do from the beginning of data collection to making predictions with a model that has been built. These notes are based on the knowledge that the authors have learned and implemented. Enjoy it!
This repo is used to deploy webapps using Django framework in pythonanywhere.com (testing only).
In this project I created a classification model using Convolutional Neural Networks (CNN) which will classify facial expressions based on the 7 categories that have been mapped for each image. All data used in this project comes from Kaggle which can be seen in the READ.me section. All image data have sizes (x, y, 1) because the data provided is all in a greyscale format.
This is a small project to test and implement Deep Neural Networks in solving a linear regression problem, which is to predict house prices based on the features provided. The data used in this project are all taken from the Kaggle website.
Image classification is still one of the interesting challenges for many data science practitioners today. In this project, I created several models to classify scene images where the models development are done in 2 ways, building the model from scratch and using pre-trained models. The data obtained from Kaggle, where the data was initially published on https://datahack.analyticsvidhya.com by Intel to host a Image classification Challenge.
The autocomplete system model for Indonesian was built using the perplexity score approach and n-grams count probability in determining the next word.
Simple project for auto correction of words engine using Naive Bayes as an algorithm in modeling.
A simple project to provide recommendations for types of food & beverages that are suitable for users who want to start a culinary business in certain areas in Jakarta, Indonesia.
Sentiment analysis for Twitter's tweet (in Indonesia language) was built with 3 models to get a comparison in determining which model gives the best results for predicting a tweet to have a positive or negative meaning.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.