Tidy anomaly detection

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

demir.ai Dataset Operations

Premise of Task: Contextual Alert and Trend System (CATS) is a proof of concept (POC) for an automated system for near real-time media monitoring via GDELT to identify trends and anomalies in the volume of online reports about pre-defined indicator events, at country level. This repository reflects the methodologies used to complete this task.

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

Data Mining and Machine Learning APS Failure at Scania Trucks Data Set.

Outlier detection (z-score and IQR) and visualization on Geolife dataset for transport mode detection task

Description of outliers

Classification problem using multiple ML Algorithms

A statistical analysis of Indian movies data set.

Feature Engineering with Python

The following data are annualized returns on a group of 15 stocks. 12.5, 13, 14.8, 11, 16.7, 9, 8.3, -1.2, 3.9, 15.5, 16.2, 18, 11.6, 10, 9.5

Following are the numbers of daily bids received by the government of a developing country from firms interested in winning a contract for the construction of a new port facility

Métodos para extração de outliers

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

Similar image retrieval using distance measure coded in MATLAB

This repository contains the source code for Statistics.JS.

Solution to Aczel problems practice (1-74, 1-75)

The following data are numbers of passengers on flights of Delta Air Lines between San Francisco and Seattle over 33 days in April and early May. 128, 121, 134, 136, 136, 118, 123, 109, 120, 116, 125, 128, 121, 129, 130, 131, 127, 119, 114, 134, 110, 136, 134, 125, 128, 123, 128, 133, 132, 136, 134, 129, 132

simple IQR & Z-score normalization script