An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: neural-network-regression

GustavoHFMO/TimeSeriesCIn

Repositório com os códigos para a monitoria da disciplina de séries temporais da pós-graduação em inteligência computacional do centro de informática (CIn) - UFPE.

Language: Python - Size: 2.17 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 6 - Forks: 1

Nate-Sheibley/Mild-Steel-Tempering

Machine learning prediction of tempering conditions to reach a target hardness

Language: Jupyter Notebook - Size: 195 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

hashim21223445/openllmetry Fork of traceloop/openllmetry

Open-source observability for your LLM application, based on OpenTelemetry

Language: Python - Size: 13.7 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

psaris/funq

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

Language: q - Size: 695 KB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 136 - Forks: 51

Mehrab-Kalantari/Cat-Landmarks-Estimation

Predicting cats feature points using a feature pyramid network

Language: Jupyter Notebook - Size: 1.37 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

masadeghi/EHRsample

Prediction of hospital stay duration in heart failure patients using machine learning.

Language: Jupyter Notebook - Size: 715 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 4 - Forks: 0

chikeorah/ML

This repository contains a Jupyter notebook that implements and optimizes several machine learning models on a dataset

Language: Jupyter Notebook - Size: 3.37 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Anikate-De/TensorFlow-Deep-Learning

A collection of GitHub gists and other resources that were made & utilized whilst learning Machine Learning and Deep Learning with TensorFlow, Keras, Pandas, MatplotLib, SciKit Learn using Python

Language: Jupyter Notebook - Size: 26.4 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

dharmikbanka23/Insurance-Product-Purchase-Prediction

This project aims to develop a predictive model estimating insurance coverage costs for customers based on their attributes and product choices. The dataset includes transaction and quote details for policy purchasers. The objective is to predict quoted coverage costs, considering customer traits and 7 customizable product options.

Language: Jupyter Notebook - Size: 2.67 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

sainikhilp/Medical_Insurance_Pred

Prediction of medical insurance bill using neural network regression model. Factors considered are age, sex, bmi, smoker, children, region and finally charges.

Language: Jupyter Notebook - Size: 121 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

pstat197/vignette-ann-architecture-exploration

An exploration of neural network architecture using regression in R.

Language: HTML - Size: 6.82 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

guilhermedom/deep-regression-bicycle-rental

TensorFlow deep regression model predicting bicycle rental.

Language: Jupyter Notebook - Size: 351 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

guilhermedom/perceptron-regression-ice-cream-per-temp

Perceptron regressing revenue for an ice cream stand according to temperature.

Language: Jupyter Notebook - Size: 1020 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Ruturaj123/Keras-Regression

Regression in Keras using multi-modal input

Language: Jupyter Notebook - Size: 16.6 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 2

Related Keywords
neural-network-regression 14 machine-learning 8 linear-regression 4 neural-network 4 tensorflow 4 python 3 pandas 3 scikit-learn 3 deep-learning 3 k-nearest-neighbours 2 random-forest-regression 2 matplotlib 2 numpy 2 r2-score 2 mean-absolute-error 2 cost-prediction 1 customer-characteristics 1 data-preprocessing 1 decision-tree-regression 1 multi-modal 1 keras 1 artificial-intelligence 1 xgboost 1 svm 1 random-forest 1 data-science 1 abalone-dataset 1 simple-linear-regression 1 revenue-regression 1 qq-plot 1 perceptron 1 ordinary-least-squares-regression 1 normal-distribution 1 linear-regression-assumptions 1 chi-squared-distribution 1 non-linear-regression 1 bicycle-sharing 1 regression-analysis 1 neural-networks 1 neural-network-architectures 1 pandas-dataframe 1 keras-tensorflow 1 deep-neural-networks 1 product-options 1 ml-models 1 insurance-product 1 gradient-boosting-regression 1 evaluation-metrics 1 typescript 1 rest-api 1 neural-networks-and-deep-learning 1 material-ui 1 javascript-library 1 java 1 html-parser 1 html 1 database-management 1 database-access 1 database 1 blog 1 backend-for-frontend 1 backend 1 algorithms 1 search-algorithm 1 regression-models 1 multioutput-classification 1 materials-informatics 1 time-series-analysis 1 arima-forecasting 1 support-vector-regression 1 electronic-health-record 1 mobilenetv2 1 fpn 1 feature-pyramid-network 1 reccomendersystem 1 q 1 pagerank 1 page-rank 1 neural-network-classification 1 naive-bayes 1 logistic-regression 1 kdb 1 k-means 1 heirarchical-clustering 1 expectation-maximization 1 decision-trees 1 collaborative-filtering 1 clustering 1 typescript-library 1 typescript-definitions 1