Real time peak detection with z-score for Arduino

Anthropometric z-score calculator

misc scripts

Assignment Basic Stats

Identification of meritorious students in primary education

Retrieving, Processing, and Visualizing Data with Python

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.

Analysis of Growth Data

A TensorFlow 2 Implemention of Deep Adaptive Input Normalization for Time Series Using Keras API

KNN (k-nearest neighbors machine learning algorithm) TensorFlow.js SharePoint Framework (SPFx) extension

Undergraduate Project - Statistical Outlier Detection Methods

A Qt port of the peak detection algorithm demo from https://stackoverflow.com/a/22640362, with interactive parameters.

University projects that tackle the area of data science

Basic Statistics-01 Solution for Questions on Basic statistics

An outlier is a data point that is noticeably different from the rest. They represent errors in measurement, bad data collection, or simply show variables not considered when collecting the data.An outlier is a data point that is noticeably different from the rest. They represent errors in measurement, bad data collection, or simply show variabl…

This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.

The Credit Card Fraud Detection project uses statistical techniques and machine learning for identifying fraudulent transactions. It includes data preprocessing, outlier detection using Boxplots and Z-scores, and a decision tree model. Evaluation goes beyond accuracy, considering precision, recall, F1-score, and ROC AUC.

the Altman's z score is a Solvency Predictor, was once known as a 'good' financial predictor of a company's solvency, based on logical Common Sense & Accounting Ratios