polynomial-regression | Topic | Ecosyste.ms: Repos

Topic: "polynomial-regression"

susanli2016/Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

Language: Jupyter Notebook - Size: 58.1 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 4,440 - Forks: 4,819

srafay/Machine_Learning_A-Z

Learning to create Machine Learning Algorithms

Language: Python - Size: 10.8 MB - Last synced at: 4 days ago - Pushed at: about 4 years ago - Stars: 389 - Forks: 195

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: about 1 month ago - Pushed at: 3 months ago - Stars: 332 - Forks: 168

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: 10 months ago - Pushed at: almost 5 years ago - Stars: 245 - Forks: 43

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: about 2 months ago - Pushed at: about 3 years ago - Stars: 223 - Forks: 62

free-to-learn/Machine-Learning-Concepts

Machine Learning Concepts with Concepts

Language: Jupyter Notebook - Size: 45.9 MB - Last synced at: 18 days ago - Pushed at: almost 5 years ago - Stars: 170 - Forks: 74

Somnibyte/MLKit

A simple machine learning framework written in Swift 🤖

Language: Swift - Size: 3.28 MB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 152 - Forks: 14

MBKraus/Predicting_real_estate_prices_using_scikit-learn

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

Language: Python - Size: 870 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 142 - Forks: 51

agrawal-priyank/machine-learning-regression

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 90 - Forks: 70

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: 3 months ago - Pushed at: 11 months ago - Stars: 66 - Forks: 15

eaglewarrior/Machine-learning

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

Language: Jupyter Notebook - Size: 27 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 41 - Forks: 37

sanithps98/Automobile-Dataset-Analysis

This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price

Language: Jupyter Notebook - Size: 805 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 40 - Forks: 34

eladcn/coronavirus_prediction

This project aims to predict the numbers that are published in each day regarding the amount of Coronavirus (COVID-19) cases and deaths.

Language: Python - Size: 293 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 34 - Forks: 20

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.

Language: Jupyter Notebook - Size: 8.26 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 31 - Forks: 27

anishsingh20/Statistical-Learning-using-R

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Language: R - Size: 3.26 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 28 - Forks: 24

srohit0/mida

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

Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: 8 days ago - Pushed at: over 6 years ago - Stars: 26 - Forks: 7

jbboehr/PolynomialRegression.php

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

Language: PHP - Size: 71.3 KB - Last synced at: 23 days ago - Pushed at: 9 months ago - Stars: 22 - Forks: 9

JangirSumit/data_science

Edureka "Data Science with Python" course solutions

Language: Jupyter Notebook - Size: 49.5 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 20 - Forks: 59

palVikram/Machine-Learning-using-Python

Regression, Classification and Clustering

Language: Python - Size: 223 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 19 - Forks: 19

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: about 2 months ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 7

techshot25/HealthCare

Insurance cost predictor

Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 4

jxareas/Linear-Regression

Data Wrangling, Linear Models & other misc. Inferential Statistics.

Language: R - Size: 892 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 14 - Forks: 0

mostafaelhoushi/FOS

Implementation of Fast Orthogonal Search (FOS) Algorithm in MATLAB

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

Nikronic/Coursera-Machine-Learning 📦

In this repository I implemented all assignments in python for the purpose of learning python

Language: Jupyter Notebook - Size: 9.61 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 4

Amitha353/Machine-Learning-Regression

Machine-Learning-Regression

Language: Jupyter Notebook - Size: 10 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 12

AkJoshi19/MachineLearning_A_Z

The respository is for Machine learning basiscs.

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

J3FALL/LASSO-Regression

LASSO Regularization in C++

Language: C++ - Size: 2.25 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 5

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: 3 months ago - Pushed at: about 4 years ago - Stars: 12 - Forks: 6

elahe-dastan/newborn

A library for ML algorithms

Language: Go - Size: 387 KB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 12 - Forks: 1

atse0612/Machine-Learning-A-Z

Language: Jupyter Notebook - Size: 706 KB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 12 - Forks: 40

dschmitz89/Polyfit

Scikit learn compatible constrained and robust polynomial regression in Python

Language: Python - Size: 361 KB - Last synced at: 25 days ago - Pushed at: 3 months ago - Stars: 10 - Forks: 6

vktrbr/optimization_ml

Optimization in ML

Language: Python - Size: 12 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 10 - Forks: 1

MeghnathReddy/Concrete-Compressive-Strength-Prediction

Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the concrete compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy. The best model will be helpful for civil engineers in choosing the appropriate concrete for bridges, houses construction.

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 10 - Forks: 5

Anindya-Das02/Comparison-of-ML-models-for-predicting-AQI

In this project we are comparing various regression models to find which model works better for predicting the AQI (Air Quality Index).

Language: Python - Size: 354 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 10 - Forks: 14

mnpsnuwan/ml-all-in-one

A collection of machine learning is using python.

Language: Python - Size: 6.8 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 1

sagnikghoshcr7/FIFA-2019-Player-Data-EDA

Language: Jupyter Notebook - Size: 3.67 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 0

S-B-Iqbal/Predicting-Power-Output-of-a-combined-cycle-power-plant.

The objective of the Project is to predict ‘Full Load Electrical Power Output’ of a Base load operated combined cycle power plant using Polynomial Multiple Regression. Concepts : 1) Clustering, 2) Polynomial Regression, 3) LASSO, 4) Cross-Validation, 5) Bootstrapping

Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 9 - Forks: 6

yaniv-shulman/rsklpr

Robust locally weighted multiple regression in Python

Language: Python - Size: 60.4 MB - Last synced at: 9 days ago - Pushed at: 5 months ago - Stars: 8 - 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: 5 months ago - Pushed at: 10 months ago - Stars: 8 - Forks: 3

baptistar/greedyPC

Randomized Greedy Polynomial Chaos Expansions

Language: MATLAB - Size: 44.9 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 1

mohadeseh-ghafoori/Coursera-Machine-Learning-Specialization

Language: Jupyter Notebook - Size: 45.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 6

henryfo/polyfit

Contains a simple "C" function -- polyfit() -- that fits a line or higher-order polynomial to a set of points, using Method of Least Squares regression. Design goals include simplicity and ease of porting.

Language: C - Size: 35.2 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 4

susanli2016/Machine-Learning-with-R

R codes for common Machine Learning Algorithms

Language: R - Size: 0 Bytes - Last synced at: 2 months ago - Pushed at: about 8 years ago - Stars: 7 - Forks: 6

vaibhavnaagar/machineLearning-exercises

Machine Learning Exercises from Online Course (Coursera)

Language: Matlab - Size: 74 MB - Last synced at: over 2 years ago - Pushed at: over 8 years ago - Stars: 7 - Forks: 1

DataSpieler12345/python-for-ds-ml

My Python learning experience 📚🖥📳📴💻🖱✏

Language: Jupyter Notebook - Size: 200 MB - Last synced at: 14 days ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0

brunocampos01/predict-which-customers-a-call-center-should-contact

Predict which customers should a call-center call for greater assertiveness in a sale

Language: Python - Size: 16 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 0

alan-toledo/Machine-Learning-Algorithms

Machine Learning From Scratch

Language: Python - Size: 15.4 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 3

brijshah27/House-Sales-Prediction

Predicting house sales in King County, based on a number of features using regression models

Language: Jupyter Notebook - Size: 4.91 MB - Last synced at: 8 months ago - Pushed at: over 7 years ago - Stars: 6 - Forks: 4

rocketlobster/curver

Convert Photoshop curve file into polynom interpolations, for further use with image processing libraries

Language: Ruby - Size: 10.7 KB - Last synced at: about 1 month ago - Pushed at: about 8 years ago - Stars: 6 - Forks: 0

JoshDavid/KokoStats

Toolkit for Data Science & Statistics

Language: APL - Size: 108 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 1

Sarvandani/Machine_learning-deep_learning_11_algorithms-of-regression

sklearn, tensorflow, random-forest, adaboost, decision-tress, polynomial-regression, g-boost, knn, extratrees, svr, ridge, bayesian-ridge

Language: Jupyter Notebook - Size: 7.45 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 1

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: 3 months ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0

Shlok-crypto/Identifying-Unmanned-Objects-Trajectory

The ability to detect the trajectories of objects in a video sequence. It detects multiple, simultaneous trajectories in a scene, following the path of objects, including those that are only a few pixels in size.

Language: Python - Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0

nikunjdnp/COVID-19-linear-regression-model

This is the final year project of Big Data Programming in Python. COVID-19 cases data processed, manipulated, transformed and applied polynomial feature of linear regression in Python.COVID-19 cases data processed, manipulated, transformed and applied polynomial feature of linear regression in Python. The model is predicting the future cases counts and the accuracy is evaluated.

Language: Python - Size: 219 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 3

Defcon27/Data-Analysis-of-Indian-Automobile-dataset-using-Machine-Learning-in-R

The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.

Language: R - Size: 13 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 7

jaimedantas/least-squares-regression

Regularized least-squares algorithm over the empirical risk minimization

Language: MATLAB - Size: 185 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

bissessk/Regression-Analysis-of-COVID-19

The objective of this project is to study the COVID-19 outbreak using basic statistical techniques and make short term predictions using ML regression methods.

Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 2

habiburrahman-mu/car-price-prediction-using-regression-models

Building a Machine Learning Model to Predict the Price of the Car By Comparing Performance of Different Regression Techniques (Simple Linear Regression, Multiple Linear Regression, Polynomial Regression)

Language: Jupyter Notebook - Size: 229 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 6

pavankalyan1997/Machine-Learning-Using-Scikit-learn-and-other-libraries

Machine Learning algorithms implementation using Python

Language: Jupyter Notebook - Size: 2.49 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 6

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: 7.21 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 4 - Forks: 25

bernardjezua/QSPS

QSPS: Quadratic Spline and Polynomial Solver - R Shiny App

Language: R - Size: 740 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0

Armin-Abdollahi/Machine-Learning

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

esharma3/project_austin_air_quality_analysis_and_prediction

The purpose of this project is to analyze the impact of climate change on air quality for the city of Austin and create a machine learning model that can establish a correlation between the level of air pollutants like Ozone and NO2 and the climate parameters by using regression models and null hypothesis.

Language: Jupyter Notebook - Size: 1.57 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

bgr8/Makine-ogrenmesi

Machine Learning with Python

Language: Jupyter Notebook - Size: 3.03 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

aws-samples/sagemaker-weather-prediction

This repository contains the files and instructions on using Amazon SageMaker to build linear regression, polynomial regression etc to predict the temperature

Language: Jupyter Notebook - Size: 2.74 MB - Last synced at: 20 days ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

omkar2811/Wind-Enery-Prediction-Analysis

Wind Energy prediction based on wind speed and direction time series dataset

Language: Jupyter Notebook - Size: 4.47 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 1

ManojKumarMaruthi/Regression

Metro Interstate Traffic Volume

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 7

kushalshm1/MachineLearning-StudyModules

Jupyter notebooks containing explanation of Machine Learning Algorithms

Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 4

JeffersonLab/model-selection

Model slection with stepwise regression.

Language: R - Size: 202 KB - Last synced at: about 1 year ago - Pushed at: almost 9 years ago - Stars: 4 - Forks: 2

madhurima-nath/regression_and_predictions 📦

Language: HTML - Size: 34.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 3

nikolas-virionis/polynomial-regression

Python package that analyses the given datasets and comes up with the best regression representation with either the smallest polynomial degree possible, to be the most reliable without overfitting or other models such as exponentials and logarithms

Language: Python - Size: 41 KB - Last synced at: 27 days ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

Arvindhh931/Mileage-prediction

Fuel Efficiency of car in miles per gallon

Language: Jupyter Notebook - Size: 3.05 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 2

NisAr-PakhtoOn/4V_polynomial-solution

in this notebook, polynomial regression is used on a dataset

Size: 15.6 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

MWiechmann/NAI_gen_set_experiment

Analyzing data from a transformer AI investigating the impact of randomness and sampling methods on text complexity (using polynomial regression analysis)

Language: Jupyter Notebook - Size: 3.36 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

Tarun-Kamboj/Machine_Learning_with_Python

Machine learning concepts implemented in python.

Language: Jupyter Notebook - Size: 4.75 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 2

mehulthakral/logic_detector Fork of skandavc18/logic_detector

A Machine Learning based system to detect semantics in the form of semantic label and suggest optimized alternatives for Python and C++ function-based code snippet.Semantic Detection is language agnostic with accuracy above 95% while optimization with accuracy above 85% for both Python and C++.

Language: JavaScript - Size: 5.9 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0