Real time peak detection with z-score for Arduino
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Updated
Mar 22, 2023 - C++
Real time peak detection with z-score for Arduino
Anthropometric z-score calculator
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
A Qt port of the peak detection algorithm demo from https://stackoverflow.com/a/22640362, with interactive parameters.
Undergraduate Project - Statistical Outlier Detection Methods
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.
All assignments of Statistical Machine Learning Course
Add a description, image, and links to the z-score topic page so that developers can more easily learn about it.
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