UI of stocknear - Stock Analysis for Data Freaks ❤️

Prediction markets based on bonding curves https://prophet.ooo

Spatial prediction across human visual cortex during naturalistic vision.

Code for the paper "Volatility is (mostly) path-dependent - Guyon, Lekeufack (2022)".

A unified framework for tabular probabilistic regression and probability distributions in python

A system to record and predict office occupancy on a day to day basis

A Python progamm that determines whether a stock has potential to increase its price based on Sentimental Analysis and recent stock patterns/growth.

last 7 days arxiv papers about autonomous driving

A parallel hybrid neural network (PHNN) model for price forecasting. Codes for paper “Energy price prediction based on decomposed price dynamics: A parallel neural network approach”, Applied Soft Computing (2024), doi: https://doi.org/10.1016/j.asoc.2024.111972.

Stock Prediction & Forecasting Using Machine Learning (SVR And LSTM)

Statsmodels: statistical modeling and econometrics in Python

With the power of machine learning and python, I present to you all, a stock value prediction tool made in python.

IMPSy - the Interactive Musical Prediction SYstem

An app that keeps track of how many predictions you've gotten correctly.

This repository includes the different files used for the master thesis "Dynamic updating of survival prediction models in a pademic setting" by Claudine Stark (performed at LUMC) as part of the Master Statistics and Data Science at Leiden University.

A Python package of Qimendunjia, one of the three greatest Ancient Chinese Divination Tools ever. Python 奇門遁甲，占卜用，運籌帷幄。包含金函玉鏡日家奇門、拆補置閏時家奇門、刻家奇門排盤。

We harness the power of machine learning and data analysis to real challenges in the copper industry. Our documentation covers data preprocessing, feature engineering, classification, regression, and model selection. Discover how we've optimized predictive capabilities for manufacturing solutions.

Predicting Price of Second Hand Automotives

This project is a crop yield prediction. It predicts the most suitable crop to be cultivated or grown in a certain area with certain temperatures, rainfall, soil ph etc.

Dynamic Modeling and Machine Learning Environment