The Art of JSON Validation and Cleaning: A Comprehensive Guide

Discover the essential techniques for validating and cleaning JSON data, ensuring data integrity and proper formatting for ...
GitHub

This repository is a Python research project for studying prediction-market efficiency and price discovery in the Los Angeles mayoral race using Kalshi and Polymarket data.

Kalshi official API for market metadata, candlesticks, trades, and order books. Polymarket official/public APIs for event metadata, markets, token IDs, price history, trades, and order books. Raw data ...
IEEE

Stacking and Chaining of Normalization Methods in Deep Learning-Based Classification of Colorectal Cancer Using Gut Microbiome Data

Abstract: Machine learning (ML)-based detection of diseases using sequence-based gut microbiome data has been of great interest within the artificial intelligence in medicine (AIM) community. The ...
IEEE

Radiometric Correction and Normalization of Airborne LiDAR Intensity Data for Improving Land-Cover Classification

Abstract: Radiometric correction of airborne LiDAR intensity data has been proposed based on the use of the radar (range) equation for removing the effects of attenuation due to system and ...
GitHub

data-normalization

Stock Price Prediction Using Tesla Dataset In this project, I analyzed Tesla’s historical stock data to forecast future closing prices using machine learning models like Random Forest Regressor.
Hosted on MSN

Quantum Python; Numerical Integration to Normalize a Wave Function

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
Visual Studio Magazine

Nearest Centroid Classification for Numeric Data Using C#

Here's a complete end-to-end demo of what Dr. James McCaffrey of Microsoft Research says is arguably the simplest possible classification technique. The goal of a machine learning classification ...