zscore

normalize the intensities of various MR image modalities

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.

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.

BoolTest - polynomial randomness tester

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)

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

This is pypi package for outlier detection

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 .

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.

Turnover & customer's behavior analysis of an online bookstore.

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

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

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

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.

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

Funções com algoritmos das fórmulas estatísticas.

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.

Predict breast cancer in women using KNN model

Streaming statistics monitor for WildFly JVMs. Using RabbitMQ and Postgres and visualization in Grafana.