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GitHub topics: polynomial-regression

busradeveci/DS-Salary-PolyRegression

Predicting Data Science salaries using Polynomial Regression with Python. A simple machine learning model that demonstrates non-linear regression using experience-salary data.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

marveng6/car-vibes-eda-88-97-

This project explores car data and improves a model's accuracy from 88% to 97%. The goal is to see how tweaks affect performance and uncover patterns that help boost accuracy.

Language: Jupyter Notebook - Size: 245 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

TempeHS/Machine_Learning_OOP_Implementation_Examples

A Jupyter Notebook collection designed to support students implement Programming for automation in the NESA Software Engineering Syllabus specifically using an OOP to make predictions.

Size: 7.2 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 4 - Forks: 4

WasabiThumb/polyfit

C11/C++ library for least-squares polynomial regression

Language: C - Size: 0 Bytes - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

MoMo790-m/car-vibes-eda-88-97-

This project explores car data and improves a model's accuracy from 88% to 97%. The goal is to see how tweaks affect performance and uncover patterns that help boost accuracy.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 1 - Forks: 0

Moez-lab/linear-regression-for-understanding

This repository contains basic implementations of popular machine learning algorithms, focused on understanding the inner workings of regression and classification techniques. It's designed as a learning resource to help beginners grasp the core concepts behind each model.

Language: Python - Size: 637 KB - Last synced at: 1 day ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

arnaldog12/Machine_Learning

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Language: Jupyter Notebook - Size: 6.83 MB - Last synced at: 4 days ago - Pushed at: about 3 years ago - Stars: 223 - Forks: 62

srafay/Machine_Learning_A-Z

Learning to create Machine Learning Algorithms

Language: Python - Size: 10.8 MB - Last synced at: 5 days ago - Pushed at: almost 4 years ago - Stars: 388 - Forks: 195

venkideshVenu/S5-KTU-Python-and-Machine-Learining-Lab

Repository for the S5 Python and Machine Learning (2019 Scheme) at Kerala Technological University (KTU) designed to strengthen foundational skills in data analysis and machine learning

Language: Jupyter Notebook - Size: 3.81 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0

nurulashraf/comparative-regression-fish-dataset

This analysis compares multiple linear regression and polynomial regression models using fish measurement data. It evaluates prediction accuracy through MSE, RMSE, R², and Adjusted R², and tests model performance on newly generated dummy data.

Language: Jupyter Notebook - Size: 13.7 MB - Last synced at: 5 days ago - Pushed at: 19 days ago - Stars: 1 - Forks: 0

susanli2016/Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

Language: Jupyter Notebook - Size: 58 MB - Last synced at: 23 days ago - Pushed at: about 1 year ago - Stars: 4,417 - Forks: 4,820

sagarkhese40/position_salary_prj

Language: Jupyter Notebook - Size: 637 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

prayas7102/Kaggle-Competition-Solutions

This repository features my Kaggle projects, highlighting advanced techniques in data preprocessing, feature engineering, model selection, and optimization across various competitions.

Language: Jupyter Notebook - Size: 46.4 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

ietimfon/Advertising-Sales-Prediction

In this project, I trained a machine learning model to make sales prediction based on amount spent on TV, radio, and newspaper advertisement.

Language: Jupyter Notebook - Size: 719 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

NishkarshRaj/100DaysofMLCode

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

Language: Jupyter Notebook - Size: 41.2 MB - Last synced at: 29 days ago - Pushed at: about 2 months ago - Stars: 331 - Forks: 164

Shriyaak/RegressionModels

In this repository, I have explored various regression algorithms.

Language: Jupyter Notebook - Size: 471 KB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

deliprofesor/Ridge-Regression-for-Sales-Prediction-Model-Evaluation-and-Hyperparameter-Tuning

This project builds and optimizes a model on a dataset using Ridge regression and polynomial features. Model accuracy is enhanced through regularization and polynomial transformations. Grid search and cross-validation are used to find the best parameters, and the model's performance is evaluated.

Language: Python - Size: 125 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

NeuralAditya/Polynomial_Regression_C

A high-performance polynomial regression implementation in pure C with gradient descent optimization and visualization support.

Language: C - Size: 344 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

dschmitz89/Polyfit

Scikit learn compatible constrained and robust polynomial regression in Python

Language: Python - Size: 361 KB - Last synced at: 15 days ago - Pushed at: about 2 months ago - Stars: 10 - Forks: 6

deptraiquataiai/Learning-Python

This repo is a comprehensive learning path for Python that covers everything from getting started and basic syntax to advanced topics like data analysis, automation, and introductory machine learning.

Size: 635 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

1adityakadam/Weather-History-Data-Analysis-and-Predictive-Modeling

The Weather-History-Data-Analysis-and-Predictive-Modeling project predicts weather patterns using regression models and correlation analysis, visualizes relationships, & uses K-Fold cross-validation to enhance model robustness

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

techshot25/HealthCare

Insurance cost predictor

Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: 17 days ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 4

elcorto/pwtools

pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with some tools extending numpy/scipy. It has a set of powerful parsers and data types for storing calculation data.

Language: Python - Size: 21.9 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 66 - Forks: 15

bgr8/Makine-ogrenmesi

Machine Learning with Python

Language: Jupyter Notebook - Size: 3.03 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

drkocoglu/Machine_Learning_Class

Machine Learning Class - ECE - TTU - Spring 2020

Language: MATLAB - Size: 15.2 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Ashish-AI-ML/polynomial-regression

Polynomial-Regression in Python With Advertising Dataset

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

fazeelibtesam/Brain_Tumor

Classification of Brain Tumor

Language: Jupyter Notebook - Size: 577 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

manishkolla/Zillow-Home-Value-Prediction

To address the impact of rising house prices on the economy, we built a machine learning model resistant to market trends. We experimented with Random Forest and Linear Regression models, employing sophisticated imputation methods like median state price replacement, KNN imputation, and forward/backward filling to minimize errors.

Language: Jupyter Notebook - Size: 9.29 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

mehtadigisha/Medical-Insurance-Cost-with-Linear-Regression

Machine Learning for predict the charges

Language: Jupyter Notebook - Size: 511 KB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Kisaa-Fatima/Bitcoin-Daily-Price-Forecasting-Using-Time-Series-Analysis

This project involves exploring, building, and evaluating different time series forecasting models to predict the daily closing prices of Bitcoin. The models compared include Linear Regression, Polynomial Regression, and ARIMA.

Language: Jupyter Notebook - Size: 592 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

bernardjezua/QSPS

QSPS: Quadratic Spline and Polynomial Solver - R Shiny App

Language: R - Size: 740 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0

charan-akula/Rank-prediction-of-a-PUC-students-RGUKT-RKV-based-on-their-CGPA

It is a Machine Learning it predicts the Ranks of a PUC students who are studying in the RGUKT RKV , based on their CGPA in this model initially i used linear regression , to predict the Ranks but later based on the data visualization i realised to used polynomial Regression to get more accuracy , so this model uses polynomial regression algorithm

Language: Jupyter Notebook - Size: 75.2 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

yaniv-shulman/rsklpr

Robust locally weighted multiple regression in Python

Language: Python - Size: 60.4 MB - Last synced at: 3 days ago - Pushed at: 4 months ago - Stars: 8 - Forks: 0

rooshmica/Concrete-Compressive-Strength-Prediction

Concrete Dataset for Regression Model training

Language: Jupyter Notebook - Size: 3.07 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

nurulashraf/polynomial-regression-manufacturing

A Python project implementing polynomial regression to analyse and predict manufacturing-related data. Features include data preprocessing, model training, and visualisation of results. Ideal for exploring machine learning applications in manufacturing process optimisation.

Language: Jupyter Notebook - Size: 723 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

knetic0/concrete-compressive-strength-predictor

🔥 Concrete Compressive Strength Predictor - using KNNR & PR Algorithms.

Language: Jupyter Notebook - Size: 903 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

steq28/polynomial-regression

Polynomial Regression with Gradient Descent using PyTorch. This repo includes functions for plotting polynomials, generating noisy datasets, and training a linear regression model. Features visualizations for loss tracking and coefficient comparison.

Language: Python - Size: 1.08 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

AtlasICL/ML_fundamentals

Fundamentals of Machine Learning

Language: Jupyter Notebook - Size: 4.74 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

ZakirCodeArchitect/Model-Capacity-in-Regression-Analysis

This project examines how model complexity and training size impact prediction stability in polynomial regression. By analyzing models of degrees 1 to 4 with confidence intervals, we gain insights into balancing overfitting and underfitting for optimal model selection.

Language: Jupyter Notebook - Size: 611 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

johnkou97/NumericalRecipes

Language: Python - Size: 58.9 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Armin-Abdollahi/Machine-Learning

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0

msikorski93/Linear-Regression-From-Scratch

Different solutions of linear and polynomial regression made from scratch.

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: 14 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

hrudaych1099/ML-Library

Machine Learning Library

Language: Python - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

maxgubitosi/ML-Regression-Models-from-Scratch

Second practical assignment for the course "I302 - ML and Deep Learning". The work consists of three regression problems where different models are designed from scratch.

Language: Jupyter Notebook - Size: 4.82 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

martn2023/training-regression-models

Introducing 4 regression models, and how to optimize via Gradient Descent

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

paescebu/PolynomialRegressionSwift Fork of KingIsulgard/iOS-Polynomial-Regression

Swift function for calculation of the polynomial regression (least squares fitting) of a given set of points.

Language: Swift - Size: 271 KB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 8 - Forks: 3

mnpsnuwan/ml-all-in-one

A collection of machine learning is using python.

Language: Python - Size: 6.8 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 1

alphacrypto246/Stock-Price-Movement-Prediction

A project leveraging Polynomial Regression to predict stock price movements based on historical data. Includes data preprocessing, feature engineering, visualization, and model evaluation to provide insights for informed trading decisions.

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Udacity-MachineLearning-Internship/Polynomial-Regression

Implementing polynomial regression using sckit-learn

Language: Jupyter Notebook - Size: 32.2 KB - Last synced at: about 2 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

yashmittalz/HR-s-Salary-Calculation

A machine learning project that uses polynomial regression to predict employee salaries based on experience levels, improving accuracy for non-linear salary structures.

Language: Python - Size: 3.91 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

HarshNevse/RMSE-Based-Assessment-of-Model-Complexity-and-Overfitting-in-Polynomial-Regression-Frameworks

RMSE-Based Assessment of Model Complexity and Overfitting in Polynomial Regression Frameworks

Language: Jupyter Notebook - Size: 103 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Tashhfia/Polynomial-Regression-and-Classification

Modeling and visualizing linear regression and polynomial regression

Language: Jupyter Notebook - Size: 268 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

deliprofesor/Health-Score-Prediction-Model-The-Impact-of-Lifestyle-and-Demographic-Factors

A machine learning project predicting health scores based on lifestyle and demographic factors like age, BMI, diet, and exercise. Techniques include Random Forest, Polynomial Regression, and Linear Regression, with a focus on model performance and actionable health insights.

Language: R - Size: 390 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

palVikram/Machine-Learning-using-Python

Regression, Classification and Clustering

Language: Python - Size: 223 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 19 - Forks: 19

AnilKumarTeegala/Machine-Learning-Using-Python

This repo contains the files created for machine learning using python

Language: Jupyter Notebook - Size: 69.2 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 12 - Forks: 6

KolbeWilliams/Python-Linear-Regression-and-Polynomial-Curve-Fitting

This project consists of 2 python programs. One allows the user to input a set of data points, and the range of slopes and intercepts they want to test. The program finds the optimal regression line by calculating the error of each slope, intercept combination. The second program performs polynomial curve fitting on user provided data points.

Language: Python - Size: 1.24 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

tk-yoshimura/MultiPrecisionCurveFitting

MultiPrecision Curve Fitting - linear, polynomial, pade, arbitrary function

Language: C# - Size: 90.8 KB - Last synced at: 22 days ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

salvatorecorvaglia/high-performance-computing

Cache dimension estimation, Roofline, Univariate & Multivariate Linear Regression, Polynomial Regression, Regularized Polynomial Regression and Ophidia

Language: TeX - Size: 5.64 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

jcsaputra/Comparative-Performance-of-Regression-Models-for-Avocado-Sales-Forecasting-machine-learning-python

Evaluation and comparison of Random Forest, Multiple Linear, and Polynomial regression models for predicting avocado sales volume in the USA, focusing on accuracy and model performance using historical sales data.

Language: Jupyter Notebook - Size: 4.07 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Beliavsky/STARPAC

Standards Time Series and Regression Package, a library of Fortran subroutines for statistical data analysis developed by the Statistical Engineering Division of the National Institute of Standards and Technology

Language: Fortran - Size: 1.1 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

daniel-j-anderson-dev/matrix_operations

A simple heap matrix library that supports polynomial regression

Language: Rust - Size: 77.1 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

mostafaelhoushi/FOS

Implementation of Fast Orthogonal Search (FOS) Algorithm in MATLAB

Language: MATLAB - Size: 2.35 MB - Last synced at: 27 days ago - Pushed at: almost 6 years ago - Stars: 14 - Forks: 2

EbadShabbir/Bluff-Detection-Model-polynomial_regression-

This project predicts employee salaries based on position levels using Linear and Polynomial Regression models. It trains models with degrees 2, 3, and 4 on a dataset of job titles, position levels, and salaries, and predicts the salary for a position level of 6.5. The results are visualized to compare model performance.

Language: Jupyter Notebook - Size: 109 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

shaadclt/Height-Prediction-PolynomialRegression

This project involves predicting height based on age using polynomial regression in Jupyter Notebook. Polynomial regression is a variation of linear regression that models the relationship between the independent variable (age) and the dependent variable (height) as an nth-degree polynomial.

Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0

abdulrahmanaymann/Data-Mining

data mining project involving two tasks: a regression problem and a classification problem.

Language: Jupyter Notebook - Size: 876 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jbboehr/PolynomialRegression.php

Calculates and returns coefficients for polynomial regression. (composer package)

Language: PHP - Size: 71.3 KB - Last synced at: 13 days ago - Pushed at: 7 months ago - Stars: 22 - Forks: 9

invictusaman/Insurance-Cost-Analysis-Regression

Showcasing Simple Linear, Multiple Linear, Polynomial and Ridge Regression on Insurance Cost Dataset to predict insurance price. Also, I have generated a report using Quarto.

Language: Jupyter Notebook - Size: 197 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

krishcy25/Building-several-Regression-MachineLearning-Algorithms-for-ContinuousOutcomePrediction

This repository focuses on building several Regression Models-Linear Regression, XGBoost Regressor, Ridge Regression, Lasso Regression, Polynomial Regression that predicts the continuous outcome (House Prices) along with several Data Preparation Techniques (Transformations/Scaling, Imputation, Filtering of Outliers, Handling of correlated features, One Hot Encoding)

Language: Jupyter Notebook - Size: 2.88 MB - Last synced at: 8 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

DeepraMazumder/Bike-Sharing-Count-Prediction

A Machine Learning project to predict bike-sharing counts using regression models, including linear, polynomial, and regularized techniques

Language: Jupyter Notebook - Size: 692 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

iamkirankumaryadav/Scikit-Learn

Machine Learning Library for Predictive Data Analysis using Python

Language: Jupyter Notebook - Size: 815 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 1

MahmoudNamNam/NYC_Taxi_Trip_Duration_Predection

The project aims to predict NYC taxi trip durations using advanced regression techniques. We utilized Polynomial Linear Regression, Ridge Regression, and Lasso Regression for feature extraction and achieved a validation R² score of 0.67. Feature engineering included KMeans clustering, Haversine distance calculation, and date-time feature extraction

Language: Jupyter Notebook - Size: 20 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

vn33/Linear-Regression-Polynomial-Regression-Regularization-Assumptions

In this project, we implement a linear regression model and its extensions on a student grades dataset to enhance performance. The workflow includes advanced EDA, data preprocessing, and assumption checks. Key steps: dataset overview, univariate and bivariate analysis, data preprocessing, model building(2nd degree,l1,l2,EN) and result visualization

Language: Jupyter Notebook - Size: 3.36 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

bkataru/physics-E.E

Project repository for IB physics extended essay. Topic: Predictive data modeling of a variable binary star’s brightness over a period of time using astrostatistics.

Language: Python - Size: 893 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

qtle3/polynomial-regression

This project demonstrates the use of both Linear and Polynomial Regression models to predict salaries based on the position level of employees. By using a dataset that contains position levels and their corresponding salaries, this project showcases the differences between linear and polynomial models in fitting data and making predictions.

Language: Python - Size: 11.7 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

deepraj1729/Self-Driving-Cars

Simulating a Self-Driving Car with basics of Deep Learning and Computer Vision

Language: Jupyter Notebook - Size: 75.2 MB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 7

PejperO/Machine_Learning

This repository contains two comprehensive machine learning projects using scikit-learn, demonstrating ensemble learning with a Voting Classifier and the comparison of linear and polynomial regression models on different datasets.

Language: Python - Size: 8.79 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

kartika-nair/Benchmarking_Of_NODE Fork of saahil-jain/Benchmarking_Of_NODE

Comparing Neural Ordinary Differential Equations (NODE) to other Neural Networks and Machine Learning algorithms.

Language: Jupyter Notebook - Size: 66.4 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Anitatorki/ML_with_Python

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

nicodecastro/Generic-Solvers-App

Generic solvers for quadratic spline interpolation, polynomial regression, and the diet optimization problem using RShiny and deployed using shinyApp

Language: R - Size: 419 KB - Last synced at: 9 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

shicoded/polynomial-regression

polynomial-regression

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

AmbreenMahhoor/Multiple-Polynomial-Regression

Language: Jupyter Notebook - Size: 858 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

BNTechie/Regression_analysis

house price prediction, Comparison of Ml algorithm, Logistic regression, Multicollinearity, Multivariate regression analysis, Linear model with random effects, Robust regression

Language: Jupyter Notebook - Size: 3.84 MB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

MahdiBehoftadeh/polynomial-regression-co2-emissions

A simple machine learning polynomial regression using a large dataset to learn and predict CO2 emission of a car by its built features like engine size and cylinders

Language: Python - Size: 129 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

alisatodorova/ML-GroupWork-1

Group work on Supervised Learning (Linear and Polynomial Regression, Classification), and Unsupervised Learning (Clustering)

Language: Jupyter Notebook - Size: 2.59 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

FinOrr/polyfit

PolyFit is a C library providing polynomial fitting functionality, for precise curve approximation based on input data. The library facilitates interpolation and extrapolation, allowing users to predict additional data points with accuracy and efficiency.

Language: C - Size: 67.4 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 1

Anrsgrl/regressions

This project contains examples of Linear, Polynomial, and Logistic Regression models implemented using Python. Explore how different regression techniques can be applied to various datasets 🤖

Language: Jupyter Notebook - Size: 645 KB - Last synced at: 5 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

scikit-learn-contrib/polylearn 📦

A library for factorization machines and polynomial networks for classification and regression in Python.

Language: Python - Size: 3.16 MB - Last synced at: 9 months ago - Pushed at: almost 5 years ago - Stars: 245 - Forks: 43

thekishanpatel/FastAi

My Assignments/Projects as I go through the FastAi Course

Language: Jupyter Notebook - Size: 9.88 MB - Last synced at: 10 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

JMcardenas/CS4ML

This is a repository for CS4ML. It is a general framework for active learning in regression problems. It approximates a target function arising from general types of data, rather than pointwise samples.

Language: MATLAB - Size: 4.61 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

QuangTranUTE/Housing-Price-Prediction

Hochiminh city apartment price prediction. June 2021 data.

Language: Python - Size: 909 KB - Last synced at: 10 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

flowstateeng/MNIST-Polynomial-Regression-Classifier

Polynomial Regression hand-written digit classifier that can recognize digits from the MNIST dataset.

Language: Python - Size: 11.9 MB - Last synced at: 7 days ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0

type0-1/salary-truth-predictor

A supervised machine learning regression model. Includes problem statement, approach to solution, code, images, dataset, and Jupyter Notebook for interactive analysis.

Language: Jupyter Notebook - Size: 260 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

AkJoshi19/MachineLearning_A_Z

The respository is for Machine learning basiscs.

Language: Python - Size: 135 KB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 7

rakeshjasti/Car-MPG

Predicting miles per gallon (MPG) for a car using UCI dataset

Language: Jupyter Notebook - Size: 478 KB - Last synced at: 11 months ago - Pushed at: almost 8 years ago - Stars: 3 - Forks: 1

Taskmaster-1/Linear-Regression--Techniques

This repository provides a comprehensive exploration of linear regression techniques using a real-world economic dataset.

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aerdely/excessmortmx

A polynomial regression model for excess mortality in Mexico 2020-2022 due to the COVID-19 pandemic.

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srohit0/mida

Selected problems and their solutions from the book on "Machine Intelligence in Design Automation"

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JeremyTremblay2/m1-ia-jtremblay

Train and test your IA's using these samples in the machine learning field.

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abhishekdbihani/synthetic_well-log_polynomial_regression

This project attempts to construct a missing well log from other available well logs, more specifically an NMR well log from the measured Gamma Ray (GR), Caliper, Resistivity logs and the interpreted porosity from a well.

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areeba0/Bitcoin-Price-Forecasting-with-Linear-Regression-Polynomial-Regression-and-ARIMA

Forecast Bitcoin daily closing prices using a Python repository featuring regression and time series models. From Linear and Polynomial Regression to ARIMA, gain insights into cryptocurrency trends. Visualize historical data, evaluate models with key metrics, and analyze residuals for validation

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Related Keywords
polynomial-regression 479 linear-regression 251 machine-learning 177 python 116 logistic-regression 82 regression 73 ridge-regression 50 random-forest 49 numpy 48 pandas 47 data-science 45 lasso-regression 42 multiple-linear-regression 42 scikit-learn 41 jupyter-notebook 37 decision-trees 36 regression-models 35 machine-learning-algorithms 35 sklearn 33 matplotlib 30 data-analysis 25 gradient-descent 25 data-visualization 23 decision-tree-regression 22 support-vector-regression 22 classification 22 python3 22 random-forest-regression 20 kmeans-clustering 19 naive-bayes-classifier 19 knn-classification 18 deep-learning 18 seaborn 18 statistics 18 regularization 17 regression-analysis 17 hierarchical-clustering 16 r 16 supervised-learning 15 knn 15 neural-network 15 matplotlib-pyplot 14 artificial-intelligence 13 tensorflow 13 svm-classifier 13 artificial-neural-networks 13 svm 12 pca 12 k-means-clustering 12 cross-validation 12 decision-tree 12 clustering 12 support-vector-machines 11 exploratory-data-analysis 11 ml 10 preprocessing 10 predictive-modeling 10 xgboost 10 simple-linear-regression 10 covid-19 9 support-vector-machine 9 neural-networks 9 eda 9 feature-engineering 8 natural-language-processing 8 curve-fitting 8 multivariate-regression 8 svr 8 pipeline 8 k-nearest-neighbours 7 ensemble-learning 7 matlab 7 k-nearest-neighbors 7 algorithms 7 polynomial 7 data 7 multiclass-classification 7 machinelearning 7 scikitlearn-machine-learning 6 naive-bayes 6 multilinear-regression 6 model-evaluation 6 kmeans 6 plotly 6 feature-scaling 6 gradient-boosting 6 non-linear-regression 6 visualization 6 lda 6 linear-regression-models 5 feature-selection 5 from-scratch 5 sklearn-library 5 time-series 5 least-square-regression 5 adaboost 5 principal-component-analysis 5 analysis 5 math 5 computer-vision 5