Sensor for Home Assistant that gets reset at midnight

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.

Strategy based on the Standard Deviation indicator.

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

Develop a Single Page App (SPA) that shows a simple dashboard that displays four tiles, each displaying a single statistic for a data set that is retrieved via a REST API call. The user should be able to request new data to be loaded and to see the statistics in the tiles update to reflect the new data set.

Q7) For Points,Score,Weigh: Find Mean, Median, Mode, Variance, Standard Deviation, and Range and also Comment about the values/ Draw some inferences. Use Q7.csv file

Machine learning functions written in goLang:

Utility to calculate standard deviation.

Consider a company that has two different divisions. The annual profits from the two divisions are independent and have distributions Profit1 ~ N(5, 3^2) and Profit2 ~ N(7, 4^2) respectively. Both the profits are in $ Million. Answer the following questions about the total profit of the company in Rupees. Assume that $1 = Rs. 45 A. Specify a Rup…

📊 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.

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.

A small library that does the statistics for your numbers.

Plot the data, find the outliers and find out μ,σ,σ^2

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

This repo is about Portfolio Analysis

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.

Exploratory Data Analysis (EDA) is one of the techniques used for extracting vital features and trends used by machine learning and deep learning models in Data Science

Describing data through mean, median, mode, variance, standard deviation, and standard error.