A collection of Python scripts demonstrating core statistical concepts like percentile analysis, Z-scores, modified Z-tests, and cosine similarity with real datasets and visualizations.

An implementation of Monroe et al., 2008.

Anomaly detection in synthetic transaction and sales data with Python. Generates realistic data, injects unusual events, and applies Isolation Forest, Local Outlier Factor, and Z-score methods to detect outliers. Produces anomaly reports and visualizations for portfolio-ready demonstration of data science skills.

misc scripts

Retrieving, Processing, and Visualizing Data with Python

Computational programs and algorithms used to convert information from biochemical experiments (DNA/RNA/Protein/DNA chip/NGS) into useful information and data.

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

Cleans and validates raw data against predefined rules

Here you can find different scripts to perform financial analysis with data from the Financial Modeling Prep API.

simple IQR & Z-score normalization script

Malicious URL detector built with deep exploration on feature engineering.

Basic Statistic operations using Python

A Python project that finds cointegrated asset pairs and generates Z-score based trading signals. Simulates a portfolio backtest.

Confidence interval for a one sample test.

This project uses the Z-score method to detect anomalies in real-time data streams. It features synthetic data generation, anomaly detection, and live visualization. With robust error handling, it's ideal for finance, cybersecurity, and system monitoring applications.

A outlier removal tool, removes outlier row-wise using z-score or InterQuartile Range method

Probs practice

Simulation-based analysis of customer ratings using mean, standard deviation, CV, and z-scores.

A high-performance Django application with DRF for viewing and rating articles, designed to handle large datasets efficiently.

AB testing between two samples for both z- and t- distributions