polynomial-regression

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 👍

python machine-learning big-data deep-learning linear-regression linear-algebra regression artificial-intelligence neural-networks classification artificial-neural-networks polynomial-regression regression-models hacktoberfest 100daysofcode scikitlearn-machine-learning classification-algorithm 100daysofmlcode llm generative-ai

UpdatedNov 3, 2025
Jupyter Notebook

scikit-learn-contrib /polylearn

Star246

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

machine-learning factorization-machines polynomial-regression polynomial-networks

UpdatedAug 7, 2020
Python

arnaldog12 /Machine_Learning

Star224

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

python machine-learning neural-network naive-bayes linear-regression machine-learning-algorithms regression feature-selection logistic-regression kmeans adaboost decision-trees polynomial-regression knn principal-component-analysis redes-neurais-artificiais linear-discriminant-analysis multilinear-regression

UpdatedSep 13, 2025
Jupyter Notebook

free-to-learn /Machine-Learning-Concepts

Star173

Machine Learning Concepts with Concepts

python data-science machine-learning statistics deep-learning concepts linear-regression scikit-learn machine-learning-algorithms ml regression machine-learning-library python-3 polynomial-regression stastistical-sampling multiple-linear-regression machinelearning-python

UpdatedAug 30, 2020
Jupyter Notebook

MBKraus /Predicting_real_estate_prices_using_scikit-learn

Star170

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)

real-estate python machine-learning neural-network random-forest lasso xgboost polynomial ensemble-learning ols decision-trees ridge-regression polynomial-regression knn multi-layer-perceptron amsterdam predicting-housing-prices lasso-regression mlp-regressor knn-regression

UpdatedApr 9, 2019
Python

Somnibyte /MLKit

Star152

A simple machine learning framework written in Swift 🤖

swift machine-learning neural-network genetic-algorithm linear-regression machine-learning-algorithms regression artificial-intelligence machine-learning-library feedforward-neural-network kmeans ridge-regression polynomial-regression backpropagation kmeans-clustering mlkit lasso-regression

UpdatedAug 28, 2018
Swift

agrawal-priyank /machine-learning-regression

Star94

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

python machine-learning linear-regression coursera gradient-descent ridge-regression polynomial-regression university-of-washington house-price-prediction multiple-regression machine-learning-regression

UpdatedDec 8, 2023
Jupyter Notebook

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 molecular-dynamics lammps preprocessing quantum-espresso polynomial-regression cp2k multivariate-regression radial-basis-function kernel-regression postprocessing radial-distribution-function ase parameter-sweep kernel-ridge-regression quasi-harmonic-approximation cpmd radial-pair-correlation-function

UpdatedMay 20, 2025
Python

sanithps98 /Automobile-Dataset-Analysis

Star48

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

numpy linear-regression exploratory-data-analysis pandas data-visualization seaborn data-analysis matplotlib datawrangling polynomial-regression model-evaluation model-development multiple-linear-regression datascience-machinelearning

UpdatedJun 13, 2021
Jupyter Notebook

eaglewarrior /Machine-learning

Star46

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 deep-learning clustering linear-regression datascience model-selection neural-networks polynomial-regression hacktoberfest hacktober nlp-machine-learning prediction-model logisitic-regression decision-tree-regression customer-segmentation random-forest-regression hactoberfest-accepted

UpdatedFeb 7, 2024
Jupyter Notebook

abhishekdbihani /synthetic_well-log_polynomial_regression

Star36

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.

feature-selection nmr feature-engineering polynomial-regression petroleum petrophysics well-logs porosity nmr-log walker-ridge keathley-canyon resistivity-log

UpdatedSep 21, 2020
Jupyter Notebook

mohadeseh-ghafoori /Coursera-Machine-Learning-Specialization

Star33

numpy linear-regression sklearn logistic-regression matplotlib regularization gradient-descent feature-engineering polynomial-regression decision-boundary learning-curve feature-scaling contour-plot cost-function feature-mapping mean-normalization regularization-to-avoid-overfitting standard-normal

UpdatedJun 4, 2024
Jupyter Notebook

eladcn /coronavirus_prediction

Star33

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

machine-learning linear-regression cases predictions polynomial-regression deaths coronavirus covid-19

UpdatedDec 8, 2022
Python

anishsingh20 /Statistical-Learning-using-R

Star32

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.

r machine-learning-algorithms statistical-learning datascience data-analysis logistic-regression regularization decision-trees predictive-modeling polynomial-regression clustering-algorithm svm-classifier k-nn boosting generalized-additive-models supervised-machine-learning bagging depth-interpretation discriminant-anlaysis

UpdatedApr 7, 2018
R

srohit0 /mida

Sponsor

Star27

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

machine-learning deep-neural-networks deep-learning neural-network machine-learning-algorithms artificial-intelligence artificial-neural-networks logistic-regression feedforward-neural-network polynomial-regression vlsi machine-intelligence design-automation electronic-design-automation vlsi-circuits vlsi-design vlsi-machine-learning vlsi-deep-learning

UpdatedDec 9, 2018
Jupyter Notebook

JangirSumit /data_science

Star26

Edureka "Data Science with Python" course solutions

python data-science data machine-learning ai algorithms clustering linear-regression machine-learning-algorithms regression python3 supervised-learning python-3 polynomial-regression unsupervised-learning clustering-algorithm kmeans-clustering assignments edureka edurekasolutions

UpdatedNov 28, 2020
Jupyter Notebook

MeghnathReddy /Concrete-Compressive-Strength-Prediction

Star23

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 approp…

linear-regression exploratory-data-analysis scatter-plot decision-trees polynomial-regression laso correlation-matrix error-prediction modeling-approach

UpdatedJul 28, 2020
Jupyter Notebook

jbboehr /PolynomialRegression.php

Star22

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

php php-library linear-regression polynomial-regression deus-vult php8

UpdatedSep 28, 2024
PHP

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