Python package containing functions implemented for descriptive and inferential statistics.

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

Altitude Estimator filter (EKF) : project using Simon D Levy MPU9250 driver lib using HP206C barometer, in this lab measuring sensors standard deviation

The following table shows changes in bad loans and in provisions for bad loans, from 2005 to 2006, for 19 lending institutions. Verify the reported averages, and find the medians. Which measure is more meaningful, in your opinion? Also find the standard deviation and identify outliers for change in bad loans and change in provision for bad loans

calculate root mean square, variance, standard deviation, skewness, percentile covariance, pearson product-moment correlation coefficient, spearman correlation coefficient, kendall correlation coefficient, determination coefficient, slope, equation and plot of linear and polynomial regression degree 2 and 3 in various way using python library ma…

Find confidence intervals for Beml and Glaxo stocks. Confidence Interval Estimate

This repository is for me to practice with Python and Pandas.

Feature transformation is a mathematical transformation in which we apply a mathematical formula to a particular column (feature) and transform the values, which are useful for our further analysis. It is a technique by which we can boost our model performance.

Seamless online software/tool for analyzing and comparing raw datasets

Calculate the variance of a strided array using a one-pass textbook algorithm.

Calculate the variance of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the variance of a single-precision floating-point strided array.

Python code

Normal-Distribution

Statistical Analysis, Discriminatory power using t-test, Train/Test set, Prediction by Voting mechanism for global accuracies.

CLI utility to measure time performance of commands with things like averages and standard deviation built in.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Calculate the standard deviation of a strided array ignoring NaN values.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.