polynomial-regression
There are 655 repositories under polynomial-regression topic.
susanli2016/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
srafay/Machine_Learning_A-Z
Learning to create Machine Learning Algorithms
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:
scikit-learn-contrib/polylearn
A library for factorization machines and polynomial networks for classification and regression in Python.
arnaldog12/Machine_Learning
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
free-to-learn/Machine-Learning-Concepts
Machine Learning Concepts with Concepts
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)
Somnibyte/MLKit
A simple machine learning framework written in Swift 🤖
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
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.
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
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
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.
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.
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.
srohit0/mida
Selected problems and their solutions from the book on "Machine Intelligence in Design Automation"
JangirSumit/data_science
Edureka "Data Science with Python" course solutions
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.
jbboehr/PolynomialRegression.php
Calculates and returns coefficients for polynomial regression. (composer package)
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).
lorenzoelia/autoscout24_scraping
Python-based web scraping and data analysis tool designed to collect vehicle listings from the Autoscout24 website.
deepraj1729/Self-Driving-Cars
Simulating a Self-Driving Car with basics of Deep Learning and Computer Vision
Amitha353/Machine-Learning-Regression
Machine-Learning-Regression
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.
techshot25/HealthCare
Insurance cost predictor
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.
J3FALL/LASSO-Regression
LASSO Regularization in C++
jxareas/Linear-Regression
Data Wrangling, Linear Models & other misc. Inferential Statistics.
mostafaelhoushi/FOS
Implementation of Fast Orthogonal Search (FOS) Algorithm in MATLAB
Nikronic/Coursera-Machine-Learning
In this repository I implemented all assignments in python for the purpose of learning python
AkJoshi19/MachineLearning_A_Z
The respository is for Machine learning basiscs.
DerHefi/F1_Quali_Prediction
Finding explainable models to predict Formula 1 Qualifying Results
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
AnilKumarTeegala/Machine-Learning-Using-Python
This repo contains the files created for machine learning using python
elaheh-dastan/newborn
A library for ML algorithms