HousePricing旨在提供房价的可视化预测，帮助用户更好的评估房产和预测未来的价格(dev)

房价预测完整项目：1.爬取链家网数据 2.处理后，用sklearn中几个逻辑回归机器学习模型和keras神经网络搭建模型预测房价 最终结果神经网络效果更好，R^2值0.75左右

A web app that helps you figure out whether buying or renting a home makes you richer.

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

北京二手房价数据分析

kaggle上的一个房屋价格预测比赛

Worked on Real Estate Price data analysis by scraping website from www.99acres.com to help the housing domain as well as estimate the sale value of various houses and open plots.

This repo contains 4 different projects. Built various machine learning models for Kaggle competitions. Also carried out Exploratory Data Analysis, Data Cleaning, Data Visualization, Data Munging, Feature Selection etc

Model deployment with flask api, using Linear Regression to predict the price value. Deploy ML Models Using Flask to take your models from python to production.

Data Analysis & Visualization - Predict the future price of houses

In this project, I have created simple model which predict the price of the house on the basis of it's area.

Welcome to some case study of data science projects - (Personal Projects).

This repo has been developed for the Istanbul Data Science Bootcamp, organized in cooperation with İBB and Kodluyoruz. Prediction for house prices was developed using the Kaggle House Prices - Advanced Regression Techniques competition dataset.

Data Science & Machine Learning Internship at Flip Robo Technologies

Machine Learning Project to Predict House Prices in Bangalore.

Play around with NGBoost and compare with LightGBM and XGBoost

Real Estate Price Prediction Using Machine Learning Project with Code and Datatsets

IIT Ropar – Diginique Techlabs: Python Crash Course in Data Science, Machine Learning, and Artificial Intelligence.

Predicting house price with linear regression and feature selection

House Price Prediction

This is a capstone project associated with MLOps Zoomcamp. The end goal of the project is to build an end-to-end machine learning project containing feature engineering, training, validation, tracking, modeel deployment, hosting, and general engineering best practices aimed at making house price predictions.

House Price Prediction using Supervised Machine Learning ( Linear Regression Model )

Proyek pertama predictive analytics untuk membangun model machine learning yang dapat memprediksi harga sewa rumah dan apartement di India.

house price prediction model with lightgbm

An Artificial Neural Network model to predict house prices over a kaggle dataset.

No description provided.

House Prices: Advanced Regression Techniques

武汉东湖高新片区光谷&软件园二手房房价爬虫。data source: 房天下

House Price Prediction using Python ML stack. Includes EDA, modeling, hyperparameter tuning, and feature importance for buyer insights.

A Web App to predict rent of house.