Search Results for "statistical"

SADSA (Software Application for Data Science and Analytics) is a Python-based desktop application designed to simplify statistical analysis, machine learning, and data visualization for students, researchers, and data professionals. Built using Python for the GUI, SADSA provides a menu-driven interface for handling datasets, applying transformations, running advanced statistical tests, machine learning algorithms, and generating insightful plots — all without writing code.

Lifeograph is a diary program to take personal notes on life. It has all essential functionality expected in a diary program and strives to have a clean and streamlined user interface.

HotelDruid is a property management system (PMS) designed to make hotel and hostel rooms, bed and breakfast apartments, or any other kind of daily rental easy to manage from a web browser.

The goal of this project is to develop a Data Envelopment Analysis(DEA) program using Stata programming language. This is the replacement of "deastata" project that we maintained for the purpose of version management. We call the program package "DEAS" which stands for Data Envelopment Analysis using Stata. DEAS covers the basic models of DEA and extensions including CCR, BCC, SBM, Super-efficiency Model, Allocative Model(Profit, Revenue, Cost), (Global) Malmquist Productivity Index...

PeCalc allows making calculations with integer fractions, complex numbers, complex matrices, rational functions and complex polynomials. It also allows making changes of numeric base, prime factor decomposition, solving linear equation systems, statistical and financial computations, rational fraction decomposition and plotting some control engineering graphs. PeCalc includes comprehensive user help in English and Spanish. Currently PeCalc runs on Android and MS Windows. A version for GNU Linux is planned for the near future. It has been developed in Object Pascal using Embarcadero Delphi. ...

Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models, such as financial time series loss model, deep pattern quality assessment model, long and short pattern combination evaluation model, long pattern stop-loss strategy model, short pattern covering strategy model, big data K-line pattern Historical portfolio fitting model, trading position mentality model, dopamine quantification model, inertial residual resistance support model, long-short swap revenge probability model, strong and weak confrontation model, trend angle change rate model, etc.

...With the designer, you are able to create different types of decision trees, random forests, n-grams, pattern-matchers, conversational agents and all sorts of AI related algorithms. You can combine statistical approaches as well as pattern matchers or others. Do natural language processing, image or data analysis & interpretation,...