polynomial-regression

There are 3 repositories under polynomial-regression topic.

susanli2016 / Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
linear-regression polynomial-regression logistic-regression decision-trees random-forest svm svr knn-classification naive-bayes-classifier kmeans-clustering hierarchical-clustering pca lda xgboost-algorithm
Language:Jupyter Notebook 4206
srafay / Machine_Learning_A-Z
Learning to create Machine Learning Algorithms
datascience dataprocessing machine-learning-algorithms machine-learning-az simple-linear-regression multiple-regression polynomial-regression support-vector-regression decision-tree-regression random-forest-regressor classification-algorithims logistic-regression k-nearest-neighbors support-vector-machine kernel-svm naive-bayes-classifier decision-tree-classifier random-forest-classifier k-means-clustering k-means-implementation-in-python
Language:Python 357
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:
machine-learning python linear-regression linear-algebra scikitlearn-machine-learning deep-learning artificial-intelligence github-actions big-data polynomial-regression regression-models regression classification-algorithm clustering-algorithm classification neural-networks artificial-neural-networks 100daysofcode 100daysofmlcode hacktoberfest
Language:Jupyter Notebook 313
scikit-learn-contrib / polylearn
A library for factorization machines and polynomial networks for classification and regression in Python.
factorization-machines machine-learning polynomial-networks polynomial-regression
Language:Python 244
arnaldog12 / Machine_Learning
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
machine-learning machine-learning-algorithms adaboost decision-trees kmeans knn linear-discriminant-analysis principal-component-analysis naive-bayes regression linear-regression neural-network redes-neurais-artificiais multilinear-regression polynomial-regression python feature-selection logistic-regression
Language:Jupyter Notebook 211
free-to-learn / Machine-Learning-Concepts
Machine Learning Concepts with Concepts
machine-learning machine-learning-algorithms machinelearning-python python-3 machine-learning-library ml stastistical-sampling regression linear-regression multiple-linear-regression polynomial-regression concepts data-science python deep-learning statistics scikit-learn
Language:Jupyter Notebook 159
Somnibyte / MLKit
A simple machine learning framework written in Swift 🤖
artificial-intelligence backpropagation feedforward-neural-network genetic-algorithm kmeans kmeans-clustering lasso-regression linear-regression machine-learning machine-learning-algorithms machine-learning-library mlkit neural-network polynomial-regression regression ridge-regression swift
Language:Swift 152
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)
predicting-housing-prices real-estate machine-learning python knn knn-regression lasso-regression lasso ridge-regression decision-trees random-forest neural-network mlp-regressor ols polynomial-regression amsterdam multi-layer-perceptron xgboost polynomial ensemble-learning
Language:Python 148
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
linear-regression multiple-regression house-price-prediction ridge-regression polynomial-regression gradient-descent python machine-learning machine-learning-regression coursera university-of-washington
Language:Jupyter Notebook 81
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.
python sqlite quantum-espresso lammps ase cp2k cpmd postprocessing preprocessing quasi-harmonic-approximation parameter-sweep radial-basis-function kernel-regression kernel-ridge-regression multivariate-regression polynomial-regression radial-distribution-function molecular-dynamics radial-pair-correlation-function
Language:Python 60
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
data-analysis data-visualization datascience-machinelearning datawrangling exploratory-data-analysis linear-regression matplotlib model-development model-evaluation multiple-linear-regression numpy pandas polynomial-regression seaborn
Language:Jupyter Notebook 43
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
machine-learning algorithm nlp-machine-learning prediction-model datascience linear-regression logisitic-regression polynomial-regression random-forest-regression decision-tree-regression customer-segmentation clustering deep-learning neural-networks model-selection hacktober hactoberfest-accepted hacktoberfest
Language:Jupyter Notebook 42
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.
coronavirus predictions deaths cases covid-19 machine-learning linear-regression polynomial-regression
Language:Python 34
synthetic_well-log_polynomial_regression
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.
nmr well-logs nmr-log polynomial-regression walker-ridge keathley-canyon feature-selection feature-engineering petrophysics porosity petroleum resistivity-log
Language:Jupyter Notebook 30
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.
datascience statistical-learning r data-analysis depth-interpretation machine-learning-algorithms predictive-modeling polynomial-regression k-nn boosting bagging generalized-additive-models discriminant-anlaysis decision-trees svm-classifier logistic-regression supervised-machine-learning regularization clustering-algorithm
Language:R 30
mida
srohit0 / mida
Selected problems and their solutions from the book on "Machine Intelligence in Design Automation"
artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks design-automation electronic-design-automation feedforward-neural-network logistic-regression machine-intelligence machine-learning machine-learning-algorithms neural-network polynomial-regression vlsi vlsi-circuits vlsi-deep-learning vlsi-design vlsi-machine-learning
Language:Jupyter Notebook 25
data_science
JangirSumit / data_science
Edureka "Data Science with Python" course solutions
data-science algorithms machine-learning machine-learning-algorithms data ai edureka assignments kmeans-clustering clustering clustering-algorithm linear-regression regression polynomial-regression supervised-learning unsupervised-learning edurekasolutions python3 python python-3
Language:Jupyter Notebook 24
jbboehr / PolynomialRegression.php
Calculates and returns coefficients for polynomial regression. (composer package)
php polynomial-regression linear-regression
Language:PHP 21
palVikram / Machine-Learning-using-Python
Regression, Classification and Clustering
python pandas time-series-analysis regression linear-regression polynomial-regression support-vector-regression random-forest decision-trees logistic-regression cluster kmeans-clustering hierarchical-clustering natural-language-processing
Language:Python 18
Self-Driving-Cars
deepraj1729 / Self-Driving-Cars
Simulating a Self-Driving Car with basics of Deep Learning and Computer Vision
deep-learning ai neural-networks tensorflow google-colaboratory polynomial-regression classification self-driving-car algorithms opencv opencv-python lane-lines-detection behavioral-cloning artificial-intelligence keras-tensorflow udacity-self-driving-car udacity-nanodegree
Language:Jupyter Notebook 17
kirushyk / le
Machine Learning Framework
machine-learning deep-learning svm linear-regression sequential-minimal-optimization gradient-descent meson c11 python sgd regression polynomial-regression mnist computer-vision
Language:C 17
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.
exploratory-data-analysis modeling-approach linear-regression decision-trees laso correlation-matrix scatter-plot error-prediction polynomial-regression
Language:Jupyter Notebook 16
Amitha353 / Machine-Learning-Regression
Machine-Learning-Regression
simple-linear-regression multiple-regression gradient-descent coordinate-descent ridge-regre lasso-regression nearest-neighbor-search kernel-regression loss-functions bias-variance-tradeoff cross-validation generalization-error overfitting coefficient-path polynomial-regression
Language:Jupyter Notebook 15
J3FALL / LASSO-Regression
LASSO Regularization in C++
lasso lasso-regression regularization polynomial-regression
Language:C++ 14
jxareas / Linear-Regression
Data Wrangling, Linear Models & other misc. Inferential Statistics.
data-science dplyr ggplot2 linear-regression poisson-distribution polynomial-regression regression regression-analysis regression-models r collaborate learn github jetbrains data-analysis
Language:R 14
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).
machine-learning python sklearn numpy pandas multiple-linear-regression polynomial-regression decision-tree-regression random-forest-regression support-vector-regression project aqi india air-quality-index regression-models
Language:Python 13
mostafaelhoushi / FOS
Implementation of Fast Orthogonal Search (FOS) Algorithm in MATLAB
regression system-identification polynomial-regression signal-analysis
Language:MATLAB 13
Nikronic / Coursera-Machine-Learning
In this repository I implemented all assignments in python for the purpose of learning python
artificial-neural-networks bias-variance coursera-machine-learning deep-learning linear-regression logistic-regression machine-learning multiclass-classification polynomial-regression python regularization
Language:Jupyter Notebook 13
techshot25 / HealthCare
Insurance cost predictor
bayesian-regression data-analysis data-science linear-regression machine-learning polynomial-regression random-forest-regression
Language:Jupyter Notebook 13
AkJoshi19 / MachineLearning_A_Z
The respository is for Machine learning basiscs.
machine-learning python3 regression linear-regression multiple-linear-regression polynomial-regression support-vector-regressor logistic-regression k-nearest-neighbours support-vector-machine kmeans-clustering
Language:Python 12
AnilKumarTeegala / Machine-Learning-Using-Python
This repo contains the files created for machine learning using python
apssdc classification engineering ipynb jupyter-notebook logistic-regression machine-learning machine-learning-algorithms mstp multi-skill-training numpy pandas polynomial-regression python3 sklearn
Language:Jupyter Notebook 12
atse0612 / Machine-Learning-A-Z
python numpy pandas matplotlib r regression bayesian-statistics random-forest kernel-support logistic-regression naive-bayes-classifier polynomial-regression linear-regression model-building thompson-sampling upper-confidence-bounds random-generation
Language:Jupyter Notebook 12
elahe-dastan / newborn
A library for ML algorithms
regression algorithms knn knn-classification linear-regression polynomial-regression logistic-regression ml machine-learning dataset math-calculation go gola
Language:Go 12
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.
data-analysis data-visualization plotly automobile-dataset r-programming univariate-analysis bivariate-analysis multivariate-analysis scatter-plot boxplots violinplot histograms barplots regression-models linear-regression polynomial-regression multivariate-regression price-prediction
Language:R 11
polyfit
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.
polynomial-regression method-of-least-squares c subroutine linear-regression line-fitting curve-fitting polyfit mit-license
Language:C 10
vktrbr / optimization_ml
Optimization in ML
bfgs golden-section-search optimization visualization plotly streamlit successive-parabolic-interpolation brent-algirithm gradient-descent conjugate-gradient-descent exponential-regression linear-regression polynomial-regression python
Language:Python 10

polynomial-regression

susanli2016 / Machine-Learning-with-Python

srafay / Machine_Learning_A-Z

NishkarshRaj / 100DaysofMLCode

scikit-learn-contrib / polylearn

arnaldog12 / Machine_Learning

free-to-learn / Machine-Learning-Concepts

Somnibyte / MLKit

MBKraus / Predicting_real_estate_prices_using_scikit-learn

agrawal-priyank / machine-learning-regression

elcorto / pwtools

sanithps98 / Automobile-Dataset-Analysis

eaglewarrior / Machine-learning

eladcn / coronavirus_prediction

abhishekdbihani / synthetic_well-log_polynomial_regression

anishsingh20 / Statistical-Learning-using-R

srohit0 / mida

JangirSumit / data_science

jbboehr / PolynomialRegression.php

palVikram / Machine-Learning-using-Python

deepraj1729 / Self-Driving-Cars

kirushyk / le

MeghnathReddy / Concrete-Compressive-Strength-Prediction

Amitha353 / Machine-Learning-Regression

J3FALL / LASSO-Regression

jxareas / Linear-Regression

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

mostafaelhoushi / FOS

Nikronic / Coursera-Machine-Learning

techshot25 / HealthCare

AkJoshi19 / MachineLearning_A_Z

AnilKumarTeegala / Machine-Learning-Using-Python

atse0612 / Machine-Learning-A-Z

elahe-dastan / newborn

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

henryfo / polyfit

vktrbr / optimization_ml