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Name: Doni Suhartono
Type: User
Bio: A Data Science Enthusiast "Everyone can learn, Everyone can teach and share"
Location: Jakarta
Name: Doni Suhartono
Type: User
Bio: A Data Science Enthusiast "Everyone can learn, Everyone can teach and share"
Location: Jakarta
Apache Airflow tutorial
This chatbot developed using Dialoglow,python,flask,MongoDB and deployed on Telegram and pivotal cloud foundary. search @bestcovid19_bot on telegram app
Script to get information about BigQuery Public Datasets
A Deep Dive into Geospatial Analysis in Python (Tutorial)
Different clustering approaches applied on different problemsets
Specifying a conda environment with `environment.yml`
Python notebook for decision tree exercise
Feature engineering package with sklearn like functionality
Finhack 2018: Fraud Detection Code Samples
A data science project about ecommerce for future program batch V Blibli.
Take a look at the README for instructions: https://github.com/crstn/Geospatial-Analysis-Notebooks#readme
This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis).
Enabling jupyter extensions for use in Binder
Master in Data Science Final Project
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
Code for testing various M1 Chip benchmarks with TensorFlow.
Machine learning for beginner(Data Science enthusiast)
Foundations of Marketing Analytics - ESSEC Business school via Coursera.org. Customer segmentation and clustering
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard models (pip install monotonic-binning)
Online marketplace web scraper
My presentations.
Common solutions and tools developed by Google Cloud's Professional Services team
Source for you to learn python programming from zero
2019 aws summit workshop content
A game theoretic approach to explain the output of any machine learning model.
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Data Provinsi, Kota/Kabupaten, Kecamatan, dan Kelurahan/Desa di Indonesia
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.