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GitHub topics: bayesian-ridge

luuisotorres/PETR4-Stock-Price-Prediction-Using-PyCaret

Utilizando machine learning para prever o preço das ações da Petrobras com a biblioteca PyCaret

Language: Jupyter Notebook - Size: 510 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

luuisotorres/Predicting-Apple-Stock-Prices-Using-PyCaret

Using PyCaret to Predict Apple Stock Prices

Language: HTML - Size: 6.6 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

Mervin-Abraham/Covid-19-Prediction-and-Analysis

Time Series Prediction on COVID-19 using Support Vector Machine (SVM), Bayesian Ridge, and Polynomial Regression

Language: HTML - Size: 1.72 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

dteuscher1/MLB-Bayesian-Ridge

Analysis of MLB pitchers and what factors influence a pitcher's FIP. Bayesian Ridge Regression is used to determine which covariates are most important. The model is fit using both hand written MCMC algorithms and Stan.

Language: Stan - Size: 591 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

jposyluzny/ENSF611Project

Repository for my ENSF 611 (machine learning) final project.

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Aysenuryilmazz/Flu-Shot-Learning-Predict-H1N1-and-Seasonal-Flu-Vaccines

The goal is to predict how likely individuals are to receive their H1N1 and seasonal flu vaccines. Specifically, you'll be predicting two probabilities: one for h1n1_vaccine and one for seasonal_vaccine. Each row in the dataset represents one person who responded to the National 2009 H1N1 Flu Survey. For details please visit the link: https://www.drivendata.org/competitions/66/flu-shot-learning/page/211/

Language: Jupyter Notebook - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0