zscore | Topic | Ecosyste.ms: Repos

Topic: "zscore"

jcreinhold/intensity-normalization

normalize the intensities of various MR image modalities

Language: Python - Size: 1.64 MB - Last synced at: 2 days ago - Pushed at: 4 months ago - Stars: 325 - Forks: 59

nikhils10/Multivariate-Analysis--Oil-Price-Prediction-Using-LSTM-GRU-

Comparing Long Term Short Memory (LSTM) & Gated Re-current Unit (GRU) during forecasting of oil price .Exploring multivariate relationships between West Texas Intermediate and S&P 500, Dow Jones Utility Avg, US Dollar Index Futures , US 10 Yr Treasury Bonds , Gold Futures.

Language: Jupyter Notebook - Size: 26.8 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 29 - Forks: 12

Thiagojm/RngKitPSG

This application uses two types of TRNGs - True Random Number Generators (TrueRNG and Bitbbabler) for data collection and statistical analysis for several purposes, including mind-matter interaction research.

Language: Python - Size: 89.9 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 9 - Forks: 2

ph4r05/booltest

BoolTest - polynomial randomness tester

Language: Python - Size: 14.2 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 8 - Forks: 6

melihcanndemir/ZScore

A sophisticated web application for text analysis and Shannon Entropy calculation.

Language: TypeScript - Size: 1.52 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 3 - Forks: 0

mayurraj876/Diabetes-Prediction

A robust framework to predict diabetes based different independent attributes. Outlier rejection, filling the missing values, data standardization, K-fold validation, and different Machine Learning (ML) classifiers were used to create optimal model.Finally, optimal model was deployed on a PaaS .

Language: Jupyter Notebook - Size: 29.5 MB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 2

nmeripo/ACM-SIGSPATIAL-Cup-2016

Applied spatial statistics to spatio-temporal big data to identify statistically significant spatial hot spots on a 4-node cluster. (Java, Hadoop Distributed File System (HDFS), Apache Spark)

Language: Java - Size: 83.5 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

jainyk/package-outlier

This is pypi package for outlier detection

Language: Python - Size: 671 KB - Last synced at: 22 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 2

nafiul-araf/Anomaly-Detection

Anomaly detection (also known as outlier analysis) is a data mining step that detects data points, events, and/or observations that differ from the expected behavior of a dataset. A typical data might reveal significant situations, such as a technical fault, or prospective possibilities, such as a shift in consumer behavior.

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

vaitybharati/Assignment-1-Q22-Basic-Statistics-Level-1-

Q 22) Calculate the Z scores of 90% confidence interval,94% confidence interval, 60% confidence interval for Adipose Tissue (AT) and Waist Circumference(Waist) from wc-at data set

Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

TheMrityunjayPathak/FeatureEngineering

Feature Engineering with Python

Language: Jupyter Notebook - Size: 473 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

VanHes1ng/Stock-Market-Volatility

This system is designed to provide valuable insights into future market movements, enabling users to make informed decisions regarding their investments without directly executing trades. It leverages the VIX (CBOE Volatility Index) as a key indicator for predicting trends, in the SPY (S&P 500 ETF) market.

Language: Python - Size: 1 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

AylinNaebzadeh/NYC-Yellow-Taxi-Trip-Data-Analysis

There are implemented some data mining and data processing algorithms over the NYC yellow taxies dataset, which have been provided in Kaggle.

Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Manel-Fares/Financial-statement-recognition-and-credit-risk-management

Automating the process of data entry from financial statements and predicting the solvency of the companies

Language: Python - Size: 8.57 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

chuksoo/telecom_prepaid_plan_analytics

Practicum by Yandex Project 3: This Statistical Data Analysis project is prepared to analyze clients' behavior and determine which prepaid plan brings in more revenue.

Language: Jupyter Notebook - Size: 404 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

YutongLi291/Z-Score_Calculator_App

A simple z-score calculator for UBC Vancouver campus. Runs on Android.

Language: Java - Size: 1.84 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

snlamm/normalize-samples

Normalize a sample drawn from different populations and convert into a Z-score

Language: JavaScript - Size: 5.86 KB - Last synced at: 7 days ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

Cyberoctane29/District-Literacy-Analysis

This project analyzes district literacy rates using descriptive statistics, probability distributions, confidence intervals, and hypothesis testing. It explores data patterns, detects outliers with z-scores, and conducts point estimation. The analysis is performed using Python with NumPy, Pandas, SciPy Stats, Statsmodels, and Matplotlib.

Language: Jupyter Notebook - Size: 737 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

aneeshmurali-n/ML-Turbine-Energy-Yield-Prediction-for-Gas-Turbine-Optimization

This project uses machine learning to predict Turbine Energy Yield (TEY) from gas turbine data, optimizing settings to improve energy output, reduce fuel consumption, and cut costs. TEY predictions help detect deviations from normal operations, signaling potential turbine issues like degradation.

Language: Jupyter Notebook - Size: 39.2 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

arshad-khalid/anomaly-detection

Real time anomaly detection and visualization

Language: Python - Size: 5.86 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

kjorgens/ChildZscores

Language: JavaScript - Size: 1.27 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

izsolnay/Penguins_Python

Extensive EDA providing detailed analysis of penguin dataset; ML models built to predicate penguin features for superior penguin management

Language: Jupyter Notebook - Size: 28 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Sazuna/zscore_scraper

Scrap a web page's main content based on the z-score (HTML Tags' paths with abnormally long texts will be caught by this method)

Language: Python - Size: 4.88 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

shwetapardhi/Assignment-2-Set2-Q1--Basic-Statistic-Level-2

Q1. The time required for servicing transmissions is normally distributed with mean = 45 minutes and SD = 8 minutes. The service manager plans to have work begin on the transmission of a customer’s car 10 minutes after the car is dropped off and the customer is told that the car will be ready within 1 hour from drop-off. What is the probability tha

Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

shwetapardhi/Assignment-1-Q22--Basic-Statistics-Level-1

Q 22) Calculate the Z scores of 90% confidence interval,94% confidence interval, 60% confidence interval for Adipose Tissue (AT) and Waist Circumference(Waist) from wc-at data set

Language: Jupyter Notebook - Size: 2.93 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

vishakhaa10/wine-quality-prediction

an analysis was conducted on the Wine Data to discern the factors that play a pivotal role in determining the quality of wine. An exploration of the correlations between these attributes and the overall wine quality was undertaken, while considering the interplay with other relevant factors

Language: HTML - Size: 521 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

haniye6776/outlier-detection

Language: Jupyter Notebook - Size: 4.29 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

JanPoonthong/z_score_calculator

Z score calculator

Language: JavaScript - Size: 135 KB - Last synced at: 9 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

alessandromonolo/Data-Driven-Ranking-Model-For-Citizens-Based-On-Their-PM-Footprint

Establishment of a Model to Define the Impact of Lombardy Region Citizens on PM2.5 Emissions During Their Daily Activities. The project aims to identify environmentally harmful actions and promote a more sustainable lifestyle through a ranking system of citizens. The model is based on the Z-Score Index.

Language: Jupyter Notebook - Size: 788 KB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0