PRESS: Predictive State Smoothing in Python (tf.keras)
-
Updated
Apr 24, 2024 - Jupyter Notebook
PRESS: Predictive State Smoothing in Python (tf.keras)
Machine Learning Introductory Course
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
Mix of good tools for portfolio analysis
Our Economic Forecasting Model leverages Genetic Algorithms and Random Forests to provide farmers, policymakers, and businesses with cutting-edge insights for informed, profitable decisions in the ever-changing world of agriculture.
Application of predictive models on a real data set of the obstetric medicine field and methods of interpretability on the previously fitted XGBoost model.
Uses machine learning to analyze e-commerce data, uncover insights, and offer actionable suggestions
This repository contains code for predicting the price of mobile phones using regression models. It includes the implementation of various regression techniques such as Random Forest Regression, Decision Tree Regressor, Linear Regression, and Lasso Regression.
This repository contains code for predicting the price of mobile phones using regression models. It includes the implementation of various regression techniques such as Random Forest Regression, Decision Tree Regressor, Linear Regression, and Lasso Regression.
Plotly Dash HTML Python Flask site for user to interact with a trained machine learning model to predict the round-trip cost of flights — based on 9 million 2018 Domestic Flight Prices in the United States.
In this project, I utilize the Insurance US dataset to predict health insurance costs based on various input features, enabling insights into the factors influencing insurance charges.
Reproduce Predictive Models of Fire via Deep learning Exploiting Colorific Variation (ICAIIC2019) with Pytorch
Mobile Air Quality Monitoring System (MAQMS) - An IoT Network of Air Quality Monitoring stations connectes to Azure cloud to provide insights and predictive models of air quality in Mexico City.
Use AutoAI to detect fraud
Statistical analysis of animal shelter intakes and outcomes from Dallas Animal Services, and a fullstack app for predicting animal outcomes based on intake variables.
Course Project for UCSD ECE143: Programming for Data Analytics
Trabajo de Fin de Grado del Grado de Ingeniería Informática, realizado en la Escuela Técnica Superior de Ingeniería Informática de la Universidad Politécnica de Madrid.
A few-shot learning approach to forecasting the evolution of the brain connectome.
Supporting code for https://www.biorxiv.org/content/10.1101/796714v4
Recurrent Dynamic Graph Mapper using GNN
Add a description, image, and links to the predictive-models topic page so that developers can more easily learn about it.
To associate your repository with the predictive-models topic, visit your repo's landing page and select "manage topics."