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Name: Nguyen Thanh Trung
Type: User
Bio: I am from VietNam, and I'm a data scientist, risk management
Name: Nguyen Thanh Trung
Type: User
Bio: I am from VietNam, and I'm a data scientist, risk management
100 Days of ML Coding
R based data science solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Petit example of credit scoring analysis
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
:bar_chart: Path to a free self-taught education in Data Science!
The Leek group guide to data sharing
A Vietnamese word segmentation tool
Dplyr: A grammar of data manipulation
Plotting Assignment 1 for Exploratory Data Analysis
More script fun in free time. He he
Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles...)
Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan
100 bài luyện tập xử lý ngôn ngữ tự nhiên
Code for NLTK3 Cookbook
Repository for Programming Assignment 2 for R Programming on Coursera
Learn Python for data science
100+ Python challenging programming exercises
Peer Assessment 1 for Reproducible Research
Mirror of Apache Spark
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Text mining in R. Wordclouds, Comparison clouds and awesome plots.
Under The Sea - Vietnamese NLP Toolkit
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.