iqr
There are 41 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)
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?
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.
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
VivekSagarSingh/Probability-of-Credit-card-Default
Classification problem using multiple ML Algorithms
hspfatemeh/outliers
Description of outliers
katreparitosh/DATA-ANALYSIS-of-Indian-Movies
A statistical analysis of Indian movies data set.
TheMrityunjayPathak/Feature-Engineering
Feature Engineering with Python
astinaam/Similar-Image-Retrieval-using-Distance-Measure
Similar image retrieval using distance measure coded in MATLAB
avrtt/gnomych
Cleans and validates raw data against predefined rules
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
zSnout/Statistics.JS
This repository contains the source code for Statistics.JS.
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.
anuragkhuntia/data-analysis-python-for-beginners
Data pre-processing of time-series dataset and statistical analysis using IQR, handling null values, removing outliers etc.
blleshi/Credit_Card_Fraud_Detection
Credit Card Fraud Detection Using SQL
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
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! 💼🔍🚀
uDanielArthur/airbnb_Vancouver
Uma análise exploratória dos dados do airbnb sobre a cidade de Vancouver. Limpeza de dados, análises estatísticas, mapas interativos.
0xbe11a/Scripts_for_Data_Analytics
Collection of Python scripts to perform various statistical analyses
Aliakbar-omidi/Iris-practice-project
This project is a test modeling for the Iris flower dataset
Khushi130404/Outlier_Exterminator
Outlier_Exterminator is a Python tool for detecting and treating outliers using IQR, Z-Score, and Percentile methods. It supports trimming, capping, and Winsorization, demonstrated in a Jupyter Notebook.
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