Udacity机器学习入门 / 进阶 预测波士顿房价 Branch master / v1

• UpdatedMar 17, 2023
• Jupyter Notebook

Machine learning (linear regression & kernel-ridge regression) examples on the Boston housing dataset

• UpdatedDec 13, 2018
• Julia

We apply basic machine learning concepts on data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home.

• UpdatedJun 21, 2018
• Jupyter Notebook

• UpdatedApr 26, 2024
• Jupyter Notebook

GPoFM: Gaussian Process Training with Optimized Feature Maps for Shift-Invariant Kernels

• UpdatedMay 5, 2017
• Python

• UpdatedNov 6, 2018
• Python

I created a machine learning regression model that predicts housing prices in Boston. This model is created using supervised learning from a dataset created by UCI (University of California, Irvine).

• UpdatedDec 9, 2020
• Jupyter Notebook

Used machine learning techniques to predict the prices of houses in the Boston housing market dataset.

• UpdatedAug 14, 2017
• HTML

Boston Housing Analysis: This repo presents an in-depth analysis of the Boston Housing dataset using Linear, Lasso, and Ridge Regression models. It explores data, preprocesses features, visualizes relationships, and evaluates model performance.

• UpdatedDec 23, 2024
• Python

Repository for Assignment 1 for CS 725

• UpdatedSep 17, 2017
• Python

Predicting Boston house prices with Machine Learning.

• UpdatedSep 7, 2016
• HTML

Implementing linear regression on Boston Housing dataset using scikit-learn

• UpdatedDec 2, 2017
• Jupyter Notebook

Udacity MLND P1: Predicting Boston Housing prices

• UpdatedMar 3, 2018
• HTML

This repository showcases projects that I have done as a partial fulfillment for Udacity's Machine-Learning Nano Degree program. The projects involve Supervised Machine Learning, Unsupervised Machine Learning , Reinforcement Learning as tools to solve the data driven problems coming from different real life situations.

• UpdatedMar 31, 2018
• Jupyter Notebook

MA Housing Assistance APP

• UpdatedJun 26, 2023
• JavaScript

Predicting house prices of the "Boston Housing" dataset.

• UpdatedOct 31, 2019
• R

This repo contains projects developed in Machine Learning Foundation Nanodegree.

• UpdatedNov 26, 2017
• HTML

Regression Analysis into the Boston Housing in-demand pricing in 1978

• UpdatedJul 11, 2022
• Jupyter Notebook

Boston Housing Price prediction using regressions

• UpdatedJul 22, 2022
• Python

Visualizing rent affordability in East Boston

• UpdatedMar 27, 2018
• JavaScript