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.
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.
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.
Series data statistics processing functions
Fast and simple statistics on the command line.
An online machine-learning library for creating robust statistical models of streaming data
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.
Machine learning functions written in goLang:
I will include two ways of t tests that compare conversion rate and click through rate of two groups
Protecting portfolios using Correlation Diversification
One pass (O(N)) descriptive statistics including variance, means, min & max and more. Can be calculated on-the-fly.
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.
Calculate the standard deviation of a strided array using Welford's algorithm.
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