Topic: zscore Goto Github
Some thing interesting about zscore
Some thing interesting about zscore
zscore,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.
User: alessandromonolo
zscore,There are implemented some data mining and data processing algorithms over the NYC yellow taxies dataset, which have been provided in Kaggle.
User: aylinnaebzadeh
zscore,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.
User: chuksoo
zscore,Funções com algoritmos das fórmulas estatísticas.
User: danmadeira
zscore,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
User: drsara9888
zscore,Using Hierarchial clustering to categories the spending of customers into groups based on their spending habit and other features
User: hohasby
zscore,Predict breast cancer in women using KNN model
User: hohasby
zscore,This is pypi package for outlier detection
User: jainyk
Home Page: http://pypi.org/project/package-outlier/
zscore,Z score calculator
User: janpoonthong
Home Page: https://janpoonthong.github.io/z_score_calculator/
zscore,normalize the intensities of various MR image modalities
User: jcreinhold
zscore,Analyzing Los Angeles crimes dataset
User: kartiikthakur
zscore,
User: kjorgens
zscore,Automating the process of data entry from financial statements and predicting the solvency of the companies
User: manel-fares
zscore,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 .
User: mayurraj876
Home Page: https://www.irjet.net/volume8-issue8
zscore,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.
User: nafiul-araf
zscore,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.
User: nikhils10
zscore,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)
User: nmeripo
zscore,BoolTest - polynomial randomness tester
User: ph4r05
Home Page: http://crocs.fi.muni.cz/public/papers/secrypt2017
zscore,This repository contains different statistical methods for Hypothesis testing.
User: priyankasett
zscore,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? A. 1.25% B. 2.5% C. 10.55% D. 21.1% E. 50%
User: santhoshprince93
zscore,Normalize a sample drawn from different populations and convert into a Z-score
User: snlamm
zscore,Statistic monster calculates and draws statistical things and also it helps to traders to analyze market.
User: taneristique
zscore,Feature Engineering with Python
User: themrityunjaypathak
zscore,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.
User: thiagojm
zscore,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
User: vaitybharati
zscore,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
User: vishakhaa10
zscore,A simple z-score calculator for UBC Vancouver campus. Runs on Android.
User: yutongli291
zscore,
User: zodiac3539
zscore,Streaming statistics monitor for WildFly JVMs. Using RabbitMQ and Postgres and visualization in Grafana.
User: ztaylor797
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