#Polynomial-regression
Showing 9 of 9 repositories tagged #polynomial-regression, ranked by stars
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:
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
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)
Machine Learning Concepts with Concepts
A simple machine learning framework written in Swift 🤖
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
This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price
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.
In this project we are comparing various regression models to find which model works better for predicting the AQI (Air Quality Index).