#Statistical-analysis
Showing 47 of 47 repositories tagged #statistical-analysis, ranked by stars
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
Bayesian Modeling and Probabilistic Programming in Python
Java dataframe and visualization library
C++ DataFrame for statistical, financial, and ML analysis in modern C++
Inspects Python source files and provides information about type and location of classes, methods etc
Multi-class confusion matrix library in Python
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
R package for DNA methylation analysis
Graphical tool for data manipulation written in C++/Qt.
The foundational library of the Morpheus data science framework
Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.
Collection of stats, modeling, and data science tools in Python and R.
Integrate Stata into your agent.
A highly customizable, smooth, and advanced graph chart card for Home Assistant dashboards. Shows historical sensor data with dynamic trend colors, statistics (min, max, avg), and more. The best graph chart card for your Home Assistant statistics
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
Meta.Numerics is library for advanced numerical computing on the .NET platform. It offers an object-oriented API for statistical analysis, advanced functions, Fourier transforms, numerical integration and optimization, and matrix algebra.
The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepare for jobs like Senior Data Analyst and Junior Data Scientist.
Statistical analysis methods for comparing prompt and model performance in LLM evaluations.
This repository contains notes and projects of Data scientist track from dataquest course work.
A collection of statistical analysis tools for your Swift programs.
Streamline a data analysis process
Credit Risk Modelling | Calculation of PD, LGD, EDA and EL with Machine Learning in Python
Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data
Repository for my data science projects (Web scraping and automation + exploratory data analysis + machine learning + recommendation system)
Complete Roadmap For Data Science
Python package for calculating various information measures, including entropy, mutual information, transfer entropy, and more, with support for both discrete and continuous variables.
TradingView client
Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.
An introductory statistics course for social scientists, using Stata
Fast Bayesian Inference in Python. 50+ conjugate models with vectorized updates, sufficient statistic helpers, built-in plotting, and SciPy integration.
A Toolkit for Interactive Statistical Data Visualization
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).
A comprehensive Data Analysis repository covering the complete learning path from Python fundamentals to advanced analytics, SQL, statistics, EDA, and Power BI dashboards.
A web interface for exploring PyMC3 traces
Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that are very important to Data science domain and its application using Python. Learn about Numpy, Pandas Data Frame.
Data Science courses in R from HarvardX
A small collection of lesser-known statistical measures
Basic statistical modelling examples.
A relatively simple but powerful heuristic that can automate performance test result analysis by using powerful statistics.
This repository contains the data analytics lessons I took from the bootcamp between 5 Jan - 4 Aug 2022 and includes 48 sessions, 10 labs, 12 assignments, 12 weekly agendas, and 5 projects.
Scanner that finds patterns in stocks/options/futures and discerns future risk/reward. Ie, money ball engine.
MTGO-Tracker is an analytics tool used to process raw data for Magic: the Gathering Online. Players can import and parse log files created during online play and store resulting information into a local database for self-analysis.
**curve_fit_utils** is a Python module containing useful tools for curve fitting
Statistical Analysis: Project with A/B testing and Machine Learning methodologies
LSTM stock prediction and backtesting