zscore
There are 0 repository under zscore topic.
jcreinhold / intensity-normalization
normalize the intensities of various MR image modalities
Language:Python 295nikhils10 / 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 38Thiagojm / 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 9- Language:Python 7
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 3nafiul-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 3nmeripo / 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 3AylinNaebzadeh / 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 2- Language:Python 2
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 2- Language:HTML 2
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 1DrSara9888 / 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
Language:Python 1Manel-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 1snlamm / normalize-samples
Normalize a sample drawn from different populations and convert into a Z-score
Language:JavaScript 1YutongLi291 / Z-Score_Calculator_App
A simple z-score calculator for UBC Vancouver campus. Runs on Android.
Language:Java 1alessandromonolo / 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 0HoHasby / Hierarchial-clustering
Using Hierarchial clustering to categories the spending of customers into groups based on their spending habit and other features
Language:Jupyter Notebook 0kartiikthakur / AnalyzingLosAngelesCrimes
Analyzing Los Angeles crimes dataset
Language:Jupyter Notebook 0- Language:JavaScript 0
- FeatureEngineering
TheMrityunjayPathak / FeatureEngineering
Feature Engineering with Python⚙️
Language:Jupyter Notebook 0 ztaylor797 / APMBackend
Streaming statistics monitor for WildFly JVMs. Using RabbitMQ and Postgres and visualization in Grafana.
Language:JavaScript 0CS-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.
Language:Jupyter Notebook- estatistica-em-php
danmadeira / estatistica-em-php
Funções com algoritmos das fórmulas estatísticas.
Language:PHP - Language:Jupyter Notebook
Predict breast cancer in women using KNN model
Language:Jupyter Notebook- Language:JavaScript
PriyankaSett / statisticsproblems
This repository contains different statistical methods for Hypothesis testing.
Language:Jupyter Notebooksanthoshprince93 / Assignment-Set4-Q_3
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%
Language:Jupyter NotebookTaneristique / statistic_monster
Statistic monster calculates and draws statistical things and also it helps to traders to analyze market.
Language:Jupyter Notebook
