Sensor for Home Assistant that gets reset at midnight

A small library that does the statistics for your numbers.

Go implementation of variance's method for one-pass variance computation with D. H. D. West improved methods which features merging of several multiple sets of statistics and adding weighted values.

📊 This repository contains a Standard Deviation Calculator implemented in C++. It provides an efficient algorithm for calculating the statistical standard deviation of a dataset, making it a valuable tool for students, researchers, and analysts seeking a reliable method for data analysis.

Free WordPress Plugin: Given a discrete data set, the calculator calculates the mean, variance, and standard deviation of a sample or a population and shows all the intermediate steps of calculations. www.calculator.io/standard-deviation/

CNN autoencoder is trained on the MNIST numbers dataset for image reconstruction. Anomaly detection is carried out by calculating the Z-score. The framework used is Keras.

Data analysis and filtering using time series for embedded devices (IoT). All in a single C++ library, Data Tome. Focus on the developer's experience and performance. It is the successor to the MovingAveragePlus library.

measures TCP connection durations to a given target, prints JSON

An online machine-learning library for creating robust statistical models of streaming data

Series data statistics processing functions

Fast and simple statistics on the command line.

Python package containing functions implemented for descriptive and inferential statistics.

In this project we will work with a real Candy Crush data set and use this data to estimate level difficulty.

This project uses statistical analysis to detect fraudulent credit card transactions by examining patterns and anomalies in a dataset of 10,000 transactions, calculating averages, medians, frequencies, and identifying outliers to distinguish between legitimate and fraudulent activities.

I will include two ways of t tests that compare conversion rate and click through rate of two groups

Protecting portfolios using Correlation Diversification

Machine learning functions written in goLang:

One pass (O(N)) descriptive statistics including variance, means, min & max and more. Can be calculated on-the-fly.

A small plugin to provide sensible standard deviation displays.

mic_py : Python 3 code for successful use of microphone on windows. stdev_ema.py : Python 3 code for calculation of standard deviation and exponential moving average of stock data.