A Python Based Library to Calculate Statistical Estimators (Sn, Qn, MAD, IQR)

demir.ai Dataset Operations

In statistics, an outlier is an observation point that is distant from other observations. How we can filter out these values using python?

Cleans and validates raw data against predefined rules

simple IQR & Z-score normalization script

Statistics and probability engineering with python

1-Outlier detection and removal of the outlier by Using IQR The Data points consider outliers if it's below the first quartile or above the third quartile 2-Remove the Outliers by using the percentile 3-Remove the outliers by using zscore and standard deviation

Built an end-to-end ML pipeline on 1,814 flight records using XGBoost and SVM. Achieved 88% accuracy via k-fold CV and GridSearch. Handled 12% missing data, treated outliers (IQR), scaled features, encoded categories, and validated with F1-score of 0.85.

A outlier removal tool, removes outlier row-wise using z-score or InterQuartile Range method

Collection of Python scripts to perform various statistical analyses

Comparison between pyranometers

A lightweight Python statistics library providing descriptive statistics, percentiles, IQR, and outlier detection utilities.