Welcome to Data Ninja. This is a "playground" site that is used to host my personal Data Science works. This site serves as sketchbooks, goal organizer, and notebooks. I found this is one of the more effective to keep myself committed to the my workplan and goals.
A machine learning showcase where multiple machine learning techniques are used to support decision making. The showcase in situated in a automobile scenario where the machine learning techniques are used to help car manufacturer 1) to predict the car price of competitors 2) to identify a reasonable price for a new car. To reliably predict the car's price, four different machine learning models based on linear regression, decision tree regression, neural network regression, and decision forest regression. More Details
The **dsx** package contains a collection of wrapper functions to simplify common operations in data analytics tasks. The core module ds_utils (data science utilities) is designed to work with DataFrame in Pandas to simplify common tasks. More Details
A modern windows app for interactive data exploration. Understand the data by interact with the data through visually intuitive controls. Use powerful queries (e.g. aggregating, groupby, join table, and filter) with simple UI, no programming required. more details
Contact [email protected] for get a free serial key
A web version of VizDesigner. Available 24/7 on any computer any platform for you to use beautiful charts and graphics to tell your story effectively. Create interactive visual reports and share them instantly with your audiences.
A windows modern-looking windows application that is portable and lightweight. Data can be stored and organized using shapes in a diagram. It supports both well-structured and non-structured information. Enable to query: a [person] who stays in [Queensland] for at least [5 years] and have a connection with [Mr. Governor X]. more details coming soon
This project involves the provision of an analytics platform to empower the general users to leverage the power of machine learning. One of the key value proposition is to allow the users to continuously train and develop machine learning models of their own. User's model is a reflection of a particular user´s accumulated experience, knowledge, heuristic judgment, and personal investment style, allowing the model to intelligently help the users to analyze the data in the way aligned with how the user thinks, and make sense of the situation. more details coming soon
Updates (10th January 2019):
Updates (29th April 2018):
Updates (2nd July 2017):