z-score
There are 86 repositories under z-score topic.
leandcesar/PeakDetection
Real time peak detection with z-score for Arduino
andreekeberg/abby
Minimal A/B Testing Library in PHP
nutriverse/zscorer
Anthropometric z-score calculator
satadru97/Smart-India-Hackathon-Finale-2018-Software-Edition
Identification of meritorious students in primary education
JC3/ZScorePeakDetection
A Qt port of the peak detection algorithm demo from https://stackoverflow.com/a/22640362, with interactive parameters.
sohamk10/Image-reconstruction-and-Anomaly-detection
CNN autoencoder is trained on the MNIST numbers dataset for image reconstruction. Anomaly detection is carried out by calculating the Z-score. The framework used is Keras.
lidox/reaction-test
Android app testing reaction times during awake brain surgeries
Wigder/fightin_words
An implementation of Monroe et al., 2008.
daedalus/math
misc scripts
FaezehAbedi2023/Statistical-Fraud-Detection-for-Credit-Cards
This project uses statistical analysis to detect fraudulent credit card transactions by examining patterns and anomalies in a dataset of 10,000 transactions, calculating averages, medians, frequencies, and identifying outliers to distinguish between legitimate and fraudulent activities.
lastralab/Statistics
Retrieving, Processing, and Visualizing Data with Python
OmidGhadami95/Geolife-OutlierDetection-TMD
Outlier detection (z-score and IQR) and visualization on Geolife dataset for transport mode detection task
zmmason/BINF
Computational programs and algorithms used to convert information from biochemical experiments (DNA/RNA/Protein/DNA chip/NGS) into useful information and data.
abdullahsaka/Outlier_Detection
Undergraduate Project - Statistical Outlier Detection Methods
krzko/gcp-anomaly-detector
🔢 Anomaly detection service for Google Cloud Monitoring metrics, utilising statistical analysis to identify significant deviations in time-series data
llouislu/tensorflow-dain
A TensorFlow 2 Implemention of Deep Adaptive Input Normalization for Time Series Using Keras API
pub-calculator-io/z-score-calculator
Free WordPress Plugin: The Z-Score Calculator helps to get the z-score of a normal distribution, convert between z-score and probability, and get the probability between 2 z-scores. www.calculator.io/z-score-calculator/
ADITYASHAH-IITP/Anomaly-Detection-in-Room
Use z-score analysis to find out anomalous behavior in the room by analyzing the condition of the light in your room.
deepmancer/timeseries-anomaly-detection
Analysis of Classical Machine Learning Algorithms for Anomaly Detection in Time Series Data
GabNoaro/financial-analysis
Here you can find different scripts to perform financial analysis with data from the Financial Modeling Prep API.
hspfatemeh/outliers
Description of outliers
reshma78611/Basic-stats-in-R-language
Basic Statistic operations using R language
shtrausslearning/Anomaly-Detection-w-SQL
Anomaly Detection using only SQL operations
diversen/zscore-probability
The following functions calculate probability from a z-score and z-score from a probability.
EmamulHossen/FeatureTransformation-Assignment-
Feature transformation is a technique in machine learning that changes the way features are represented in order to improve the performance of machine learning algorithms. This can be done by transforming the features to a different scale, removing outliers, or creating new features from existing
juliorodrigues07/url_detection
Malicious URL detector built with deep exploration on feature engineering.
MoinDalvs/Assignment-Basic-Stats-Level1
Assignment Basic Stats
MoinDalvs/Assignment_2_Set_2
Topics: Normal distribution, Functions of Random Variables
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
Shahequa/Statistics-Assignments
This repository contains problems on hypothesis testing, confidence intervals, P-value, percentiles, skewness, histogram and more.
ShaikRiyazSandy/Basic-Statistics_Level-1
Assignment Basic Stats
ShaikRiyazSandy/Basic-Statistics_Level-2
Assignment Advance Stats
vaitybharati/Assignment-2-Set3-Q5-Basic-Statistic-Level-2-
In January 2005, a company that monitors Internet traffic (WebSideStory) reported that its sampling revealed that the Mozilla Firefox browser launched in 2004 had grabbed a 4.6% share of the market. I. If the sample were based on 2,000 users, could Microsoft conclude that Mozilla has a less than 5% share of the market? II. WebSideStory claims that its sample includes all the daily Internet users. If that’s the case, then can Microsoft conclude that Mozilla has a less than 5% share of the market?
vaitybharati/Assignment-2-Set4-Q3-Basic-Statistic-Level-2-
Auditors at a small community bank randomly sample 100 withdrawal transactions made during the week at an ATM machine located near the bank’s main branch. Over the past 2 years, the average withdrawal amount has been $50 with a standard deviation of $40. Since audit investigations are typically expensive, the auditors decide to not initiate further investigations if the mean transaction amount of the sample is between $45 and $55. What is the probability that in any given week, there will be an investigation?
zuhaib1214/Feature-Engineering
This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.