Name: TRAN Ngoc Thach
Type: User
Company: iATROS GmbH
Bio: I'm a software engineer, major in Communication and Computer Security, with experience in Big Data technologies and background in Data Science.
Location: Munich, Germany
Blog: https://medium.com/@thachngoctran
TRAN Ngoc Thach's Projects
Benchmark the RDD with and without using persist().
A tool that helps automate the checking of availability and the booking. It's website-specific.
Practicing coding small puzzles in a variety of programming languages.
Connection Handler for clients toward a variety of servers (Amazon S3, Amazon DynamoDB, MongoDB, RServe, SQL Server, ElasticSearch)
code for Data Science From Scratch book
Transform (raw) data to/from TFRecord files.
This repo is used to contain server.R and ui.R for the course's project.
Notes on my experience with ElasticSearch. Serve as a reminder just in case I forgot something (especially some syntax).
A small script to extract Excel Data in parallel into Dataframes, using xlwings and Python's multiprocessing.
A dataset from Kaggle, used to predict Financial Distress of a person, given their history.
A quick way to get common system information
Repo for Getting and Cleaning Data Course Project
Source code for the Neo4j Graph Data Science library of graph algorithms.
A client-side graph loader for visualization purposes.
Integrate HyperLogLog into Apache Hive under the form of User-Defined Aggregate Function (UDAF). Written in JAVA.
K-Means Clustering with Spark and R
Katz's Backoff Model implementation in R
A workaround for FULL OUTER JOIN in MongoDB. This is not a general utility/function!
Notes on my experience with MongoDB. Serve as a reminder just in case I forgot something.
A little game of monsters moving randomly in an imaginable world, fighting each other to death whenever encountering, ruining the cities where they fought.
Simple Restful API Server, written with F# and ASP.NET Core 2
My attempt to create a HTTP server (Jetty) with Restful support (Jersey). Thanks to the Internet. :)
A set of simple Python scripts for pre-processing large files
Notes on my experience with PostgreSQL. Serve as a reminder just in case I forgot something.
Predict Liver Patient With Random Forest And Logistic Regression. Written in Python (with Scikit, Pandas, Seaborn).
Decision Tree and Random Forest in different programming languages.
Random Forest (MLlib) with Apache Spark in Amazon EMR. Written in Scala.
Merge multiple photo folders into one, sort/rename photos based on taken dates.