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)
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Updated
Mar 17, 2021 - JavaScript
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)
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
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
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
In this project, I have created simple model which predict the price of the house on the basis of it's area.
House Prices: Advanced Regression Techniques
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.
This repo is a part of K136. Kodluyoruz & Istanbul Metropolitan Municipality Data Science Bootcamp. The project aims to produce a machine learning model for home price estimation. The model was built on the Kaggle House Prices - Advanced Regression Techniques competition dataset.
House Price Prediction
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.
Play around with NGBoost and compare with LightGBM and XGBoost
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.
Machine Learning Project to Predict House Prices in Bangalore.
Data Science & Machine Learning Internship at Flip Robo Technologies
[READ-ONLY MIRROR] A case study on predicting house prices in Ames, Iowa
The growing unaffordability of housing has become one of the major challenges for metropolitan cities around the world. In order to gain a better understanding of the commercialized housing market we are currently facing; we want to figure out what are the top influential factors of the housing price. Apart from the more obvious driving forces s…
To identify the variables affecting house prices :Multiple Linear Regression in Python using statsmodels and RFE
training model with python for kaggle competition house pricing
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