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 ...
Hosted on MSN

How to normalize a wave function using numerical integration in Python

Learn how to normalize a wave function using numerical integration in Python. This tutorial walks you through step-by-step coding techniques, key functions, and practical examples, helping students ...
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.
IEEE

Layer Normalization Enhanced Geometric Feature Fitting Neural Network for Flush Air Data Sensing

Abstract: The flush air data sensing (FADS) method based on artificial neural networks (ANNs) has been widely studied and applied in air data sensing for advanced aircraft. Most current methods focus ...
Hacker

Understanding Normalization: A Guide to Effective Database Design

Your browser does not support the audio element. Walkthroughs, tutorials, guides, and tips. This story will teach you how to do something new or how to do something ...