Udacity机器学习入门 / 进阶 预测波士顿房价 Branch master / v1
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Updated
Mar 17, 2023 - Jupyter Notebook
Udacity机器学习入门 / 进阶 预测波士顿房价 Branch master / v1
Machine learning (linear regression & kernel-ridge regression) examples on the Boston housing dataset
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.
This repository showcases a machine learning project that leverages PyTorch to implement a linear regression model for predicting house prices in Boston. It uses the well-known Boston Housing Dataset, incorporating a complete pipeline from data preprocessing and loading to model training, evaluation, and result visualization.
GPoFM: Gaussian Process Training with Optimized Feature Maps for Shift-Invariant Kernels
Smart property valuation system using XGBoost machine learning for accurate house price predictions based on 13 real estate features
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).
Used machine learning techniques to predict the prices of houses in the Boston housing market dataset.
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.
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.
Udacity MLND P1: Predicting Boston Housing prices
MA Housing Assistance APP
This project predicts housing prices in Boston using machine learning techniques.
Predicting Boston house prices with Machine Learning.
Repository for Assignment 1 for CS 725
Predicting house prices of the "Boston Housing" dataset.
Implementing linear regression on Boston Housing dataset using scikit-learn
Boston housing price prediction using machine learning
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