Siddhesh-Agarwal/Housing-Price-Regression

Boston Housing Price prediction using regressions

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Armin-Abdollahi/Boston-House-Price-Prediction

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EN10/BostonHousing

Boston Housing Dataset Example

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thestorytellingengineer/Boston_house_pricing_regression

End to end implementation

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Honey28Git/Data-Visualization-Using-Tableau

Data Visualization for Boston House Recommending Dataset using Tableau

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jasper7zlh/Boston-Housing

Model Evaluation and Validation

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purrvaja/Regression-Analysis

Regression analysis to predict the house prices, along with exploratory data analysis answering research questions

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roshanr11/boston-housing-predictions

Predicting housing prices using machine learning and the widely available Boston Housing dataset.

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arunnandam/boston-streamlit

End to End Boston House Pricing

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ragesh2000/Housing-price-prediction

Inspecting the Boston Housing dataset from sklearn and predicting the housing prices using linear regression.

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vishalv91/capstoneproject-realestate

Data: Boston Housing Dataset (HousingData.csv) Programming language(s): R Tool(s): RStudio Business problem: To understand the drivers behind the value of houses in Boston and provide data-driven recommendation to the client on how they can increase the value of housing.The Boston housing dataset consisted of 506 observations and 14 variables. Project challenge(s): MEDV (Median value of homes in Boston) was identified as the dependent variable. While the rest, were the independent variables. The goal was to find out which among the independent variables were statistically significant in driving the house prices (MEDV). The dataset consisted of missing values and outliers. Some of the variables had a skewed distribution. There was multicollinearity among few independent variables. Our Approach: Prior to model building, we tidied up our dataset by eliminating the rows that contained missing values. Replacing the missing values with median and mean of those variables were also done. Considering the three approaches, median imputation(replacing missing values with mean) was found to be the best approach. As the dependent variable "MEDV" (median value of houses) was continuous(numerical) in nature, we implemented the Multiple linear regression to build our model. Additional models were built from Decision trees and Random forest. On further investigation, we discovered that the dependent variable had a skewed distribution. By log transformation of this variable, we were able to get a normal distribution. Post transformation, we found out that the model built from Multiple linear regression with log transformed MEDV was the best in terms of MSE (Mean squared error) value and Adjusted R^2. All the assumptions of linear regression were met.

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sandilya1599/boston-data-prediction

Boston Data Prices prediction using Scikit Learn

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ritulsriva/My-solutions-to-kaggle-datasets

This repository contains my solutions(in Python) to different kaggle datasets

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Shardy2907/House-Price-Prediction

A Machine Learning Regression Model has been used to predict the prices for houses in Boston.

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dhruvxsethi/Boston-House-Price-Prediction

ML Project Using Linear Regression - Predict Prices of Houses in Boston

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DHwass/XGBoost-on-Home-Data-KAGGLE

In this project, XGBoost is applied to forecast real estate prices using the Boston Housing Dataset. The primary aim is to create an effective predictive model, assess its accuracy through metrics like Mean Absolute Error (MAE), and refine its performance by tuning hyperparameters with HYPEROPT.

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qin-yu/julia-regression-boston-housing

2018 [Julia v1.0] machine learning (linear regression & kernel-ridge regression) examples on the Boston housing dataset

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sheezaW/DeepLearning-and-NeuralNetwork

Neural Network

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nirupamaprv/Machine-Learning

Notes and Code Files from Udacity MLND

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y-martinez/machine-learning-microservices

Project #4 from the Cloud DevOps Engineer Nanodegree Program - Udacity

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soubhatta/SYNC_INTERN

Projects on Machine Learning Internship

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lmego/boston_housing

Boston Housing Prediction - 2nd project for Udacity's Machine Learning Nanodegree

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rodrigobressan/keras_boston_housing_price

Keras 101: A simple Neural Network for House Pricing regression

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norhanreda/Predict-Boston-House-Prices

🏠 this machine learning problem aims to predict the price of houses in Boston

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rahulravindran0108/Boston-House-Price-Prediction

This repository contains files for Udacity's Machine Learning Nanodegree Project: Boston House Price Prediction

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bagalshreerang/Real-Estate-Price-Prediction

About The Boston House Price Prediction project utilizes data science methodologies and machine learning algorithms to provide accurate predictions for housing prices in the Boston area.

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thenomaniqbal/boston-housing-price-prediction

This project is about predicting house price of Boston city using supervised machine learning algorithms. In this we used three models Multiple Linear Regression, Decision Tree and Random Forest and finally choose the best one. Furthermore, we briefly introduced Regression, the data set, analyzed and visualized the dataset.

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DwivediAman-exe/Boston-house-price-prediction

Boston House 🏡 price prediction ML project ✔️

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AzeemWaqarRao/HousePricePrediction

This is a machine learning project that uses a linear regression model to predict the prices of houses in Boston, Massachusetts.

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aahouzi/Optimization-for-Machine-Learning

Implementation of 11 variants of Gradient Descent algorithm from scratch, applied to the Boston Housing Dataset.

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shreyansh-2003/MLR-Gradient-Descent-For-Model-Explainability

This repository contains a comprehensive implementation of gradient descent for linear regression, including visualizations and comparisons with ordinary least squares (OLS) regression. It also includes an additional implementation for multiple linear regression using gradient descent.

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ASHOKKUMAR-K/Machine-Learning-Projects

Machine Learning - End to End Data Science Projects

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KiraTheGenius/Machine-Learning-Prediction-Boston-Housing-Price

Linear Regression for Predict Housing Price in Boston

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sujitmandal/Machine-Learning

Linear Regression , Cross Validation, k-mean clustering , Watershed , Gradients and Edge Detection , threshold , Correlation , Neural Network, Conventional Neural Network , Pneumonia Classification, Social Distancing, Rainfall Prediction, Boston Housing Price Prediction.

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KeeratSachdeva/GRADIENT-DESCENT-BOSTON

An Implementation of the Gradient Descent Algorithm on the 🏡Boston Housing DataSet🏡.

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aps19/B-Spline-Regression

Regression by diviging data into bins and fitting different degree of polynomials on each bin.

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antra0497/Udacity-Predicting-Boston-Housing-Prices

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VetlaPavanKalyan/Boston-Housing-Price-Prediction

Linear Regression model trained on Boston Housing Dataset

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ahmadali-jamali/Bostone-housing-price-prediction

Dataset Boston Housing Price prediction

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sauravwel/Boston-Housing-Price-Prediction-using-Deep-Learning

This project uses deep learning techniques to predict median housing prices in the Boston area using the Boston Housing dataset. The model employs TensorFlow, Keras, and Numpy, with a mean squared error loss function and Adam optimization algorithm. The results show high accuracy.

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KanikaMaheshwari1112/Boston-House-Price-Prediction

House Price prediction web application using Streamlit and API building using Postman. Though the boston dataset has been removed from scikit-learn.

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jrbeverly/boston-housing 📦

Leverage a few basic machine learning concepts to assist you and a client with finding the best selling price for their home.

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JangirSumit/BostonHousePricePrediction

Predicting Boston House Prices

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melissacharles/RegressionBostonHousing

Predict Boston House Prices Using Python & Linear Regression

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Divyanshu-Sri316/Boston-House-Pricing

This project is a Web Application that can be used to predict the Price of house in city of Boston. Boston-Housing-Dataset is used during our Data Analysis process, `Multivariate Regression` is performed and a Regressor model is created. An API is created to run the Dockered Model over the `Heroku Cloud Platform` using `Github Actions`.

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Kisalaykisu/Machine-Learning-Projects

Machine Learning - End to End Data Science Projects

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sabeelahmad/Gradient-Descent

Gradient Descent for N features using two datasets: Boston House data, Power Plant Data

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mayur29/Udacity_Machine_Learning_Projects

These are all the assignments from Udacity Nanodegree Machine Learning course

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mortezagholi79/Project_ML2

Objective of the repository is to learn and build machine learning models using Python for data Housing Median Price ( BostonHousing).

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shushrutsharma/data-science-machine-learning-toolkit

All the essential resources and template code needed to understand major data science and machine learning libraries like Numpy, Pandas, Matplotlib and Scikit Learn with few small projects to demonstrate their practical application.

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AhmedShoeb0/BostonHousingPrice_PreditionModel

Machine learning model implemented to accurately predict the housing prices in Boston suburbs.

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AndySama79/Multivariable-Regression

Playing with Scikit-learn's Boston house prices

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DavidCico/Boston-House-Prices-With-Regression-Machine-Learning-and-Keras-Deep-Learning

In this repository, a regression analysis is conducted using different machine learning and deep learning models. The study is led in order to choose the most suitable model by looking at different characteristics (models tuning, features scaling, etc).

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Programmer7129/Boston-Housing-Prediction-Model

This code file predicts the House prices (MEDV) based on given features.

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Tanjib-Rafi/Multiple-Linear-Regression

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rodrigo-fss/machine-learning

Udacity - Machine Learning Nanodegree - Projects

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lilianchi/Boston-Housing-Price-Prediction-with-Regression

A repository with my course practice in MGMT590 Machine Learning at Krannert School of Management, Purdue University.

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thealexsamexe/Boston-House-Price-Prediction

This project is based on Boston House Price Prediction using Linear Regression and Random Forest Regressor.

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AkashSCIENTIST/boston-housing-price-prediction

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kalsam123/Boston-House-price-prediction-using-regression

A machine learning web app for Boston house price prediction.

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VirajPatidar/Basic-Machine-Learning

Basic Machine Learning

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UtkarshMishra04/Machine-Learning-Projects

The repository contains various Machine Learning based solutions for data analysis, regression and clustering problems

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Analytics-BizCoder/Boston-Housing-Prices-regression-model-

Predict the selling price of a new home in Boston, Massachusetts area using Regression method in R / Rstudio.

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yashgyy/KerasBostonHousing

L1_L2 Kernel Regularizer + Keras + Regression

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somjit101/DS-Linear-Regression

A simple Linear Regression model using the Boston Housing Prices Dataset

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akshaykhadse/ml-linear-regression

Repository for Assignment 1 for CS 725

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alik604/Notebooks

Notebook for Data Science - Machine Learning

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arslanali4343/House-Price-Prediction

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OtemaY/Real_pricing

A project on Data manipulation and visualisation in jupyter notebook. This task focused is on The Boston House Dataset. The goal is to make predictions of a house to determine the factors on which the price depends.

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AkshitaPatel/Ridge-Lasso-Regression

Ridge and Lasso Regression Implementation using Boston Housing dataset

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hafidh561/Regression-Boston-Housing-DeepLearning

Predict MEDV use deeplearning

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geekquad/Boston-Housing

Evaluating the performance and predictive power of a model. Cross questioned several concepts of ML for better understanding.

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kanishksh4rma/Boston_House_Price_Prediction

Boston_House_Price_Prediction

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radadiyamohit81/Boston_Housing_Price_Prediction

The main motive of this project is Price Prediction on the Boston Housing dataset. and here mainly focused on the Implementation using Linear Regression Model.

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enabokov/machine-learning

Basic algorithms implementation for ML

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sunidhit/MLProject

Optimization of KNN and Linear regression algorithms

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rajharsh81070/Machine-Learning-Projects

Implemented machine learning projects.

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optimistanoop/Machine-Learning-Foundation-Nanodegree

This repo contains projects developed in Machine Learning Foundation Nanodegree.

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maneeshd/boston-housing

Predicting Boston Housing Prices

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deep56parmar/gtuml

GTU Machine Learning Practicals

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govardhan26/Boston-housing

House price prediction in the boston area.

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HackBinghamtonArchives/HackBU-Intro-to-ML Fork of cfiutak1/HackBU-Intro-to-ML

Introduction to Machine Learning

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deepak525/Boston-Housing-Prices

Predict the best selling price of a new home in Boston

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shikharvaish28/Boston-House-Prediction

A notebook with core concepts of gradient descent algorithm to predict the prices for houses in Boston

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josancamon19/boston_housing

Predicting Boston Housing Prices for Udacity Machine Learning Nanodegree

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Deimos-M/DL-Neural-network

Basic NN architecture on different dataset

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valerio/boston-housing

A project built as part of the udacity machine learning ND

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JuzerShakir/Predicting_Boston_Housing_Prices

Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

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inspectordanno/east_boston_amazon Fork of stephentcosta/IDVStudio2

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vishaldpatel92/Linear-Regression-Model-for-Boston-Housing-Dataset-Vishal-_files

Implementing linear regression on Boston Housing dataset using scikit-learn

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mayurmadnani/housing

Analysis on various housing datasets

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iYinST/mlbulletin

This is a simple algorithm and framework to solve Boston Housing Problem and handwritten digits recognition .

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bharatsdev/Machine-Learning-with-Python

Machine Learning in python

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piyush2896/Predicting-Boston-Housing-Prices

Predicting Boston Housing Prices MLFND Project

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msampathkumar/machine-learning Fork of udacity/machine-learning

Content for Udacity's Machine Learning curriculum

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joelselvaraj/Udacity-MLND-boston_housing

Udacity - Machine Learning Engineer Nanodegree Project - Boston House Price Prediction

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