iqr
There are 35 repositories under iqr topic.
business-science/anomalize
Tidy anomaly detection
AhmetFurkanDEMIR/DatasetOperations
demir.ai Dataset Operations
deepak7376/robustbase
A Python Based Library to Calculate Statistical Estimators (Sn, Qn, MAD, IQR)
EmSchoof/UNICEF_CATS
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.
adrianodemarino/Detect-and-remove-outliers
In statistics, an outlier is an observation point that is distant from other observations. How we can filter out these values using python?
jvirico/scania-truck-failure-prediction
Data Mining and Machine Learning APS Failure at Scania Trucks Data Set.
OmidGhadami95/Geolife-OutlierDetection-TMD
Outlier detection (z-score and IQR) and visualization on Geolife dataset for transport mode detection task
hspfatemeh/outliers
Description of outliers
katreparitosh/DATA-ANALYSIS-of-Indian-Movies
A statistical analysis of Indian movies data set.
astinaam/Similar-Image-Retrieval-using-Distance-Measure
Similar image retrieval using distance measure coded in MATLAB
DrSara9888/Machaine-Learning-Big-Data
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
katherinGriffi/M-todos_extra-o_outliers
Métodos para extração de outliers
prathammehta16/Heart-Disease-Prediction
A machine learning project where we first detected and removed the outliers and then checked correlation among features and then applied different ML algorithms to check if the person might get a heart attack or not.
rares9301/datatrain
simple IQR & Z-score normalization script
vaitybharati/A1-Aczel-problems-practice-1-13-1-19-1-31-
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
vaitybharati/A13-Aczel-problems-practice-1-74-1-75-
Solution to Aczel problems practice (1-74, 1-75)
vaitybharati/A2-Aczel-problems-practice-1-14-1-20-1-32-
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
vaitybharati/A4-Aczel-problems-practice-1-16-1-22-1-34-
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
vaitybharati/A5-Aczel-problems-practice-1-17-1-23-1-35-
Data: 23, 26, 29, 30, 32, 34, 37, 45, 57, 80, 102, 147, 210, 355, 782, 1209
vaitybharati/P08.-Box-Plot-Practice
Box Plot - using dataframe in pandas Inserting Minor and Major gridlines Deriving LQ, UQ, IQR, Upper Whisker and Lower Whisker length
VivekSagarSingh/Probability-of-Credit-card-Default
Classification problem using multiple ML Algorithms
zSnout/Statistics.JS
This repository contains the source code for Statistics.JS.
egorumaev/2023-cirrhosis-outcomes
Прогнозирование исхода лечения пациентов с циррозом печени
JudyNgn/DA01_SQL
Here includes my SQL journey from beginning and any further progress
TheMrityunjayPathak/FeatureEngineering
Feature Engineering with Python
uDanielArthur/airbnb_Vancouver
Uma análise exploratória dos dados do airbnb sobre a cidade de Vancouver. Limpeza de dados, análises estatísticas, mapas interativos.
ahmadrezasedghi/iris_classification
This repository contains a project using the Iris dataset for data visualization, outlier detection, normalization, and classification. The project includes models like GaussianNB, RandomForestClassifier, and DecisionTreeClassifier, with hyperparameter tuning and PCA for dimensionality reduction.
aniass/Air-quality-analysis
Data analysis and outliers detection of air quality data.
CS-Ponkoj/Data-Cleaning--Z-Score-IQR
I have used Boston Housing Dataset, which is available at Sklearn API. Find out the outliers using box plot, scatter plot and clean them using Z score and IQR method.
MuhammadFarooq2022/MS_Excel
📊 Master Microsoft Excel for Data Analysis and Data Science with ready-to-use tools, templates, and expert tips. Join us in unleashing the power of data! 💼🔍🚀
NoOne03/outlier_remover
A outlier removal tool, removes outlier row-wise using z-score or InterQuartile Range method
spacebakery/Data-Summaries
Data Science Foundations I | Exploratory Data Analysis in Python | Summarizing Single Feature
spacebakery/Life-Expectancy-By-Country-Project
Statistics for Data Analysis | Quartiles, Quantiles and Interquartile Range
sushantdhumak/Creating-Customer-Segments
Machine Learning Nano-degree Project : To identify customer segments hidden in product spending data collected for customers of a wholesale distributor