This repository contains files for Udacity's Machine Learning Nanodegree Project: Boston House Price Prediction
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Updated
Dec 7, 2015 - Python
This repository contains files for Udacity's Machine Learning Nanodegree Project: Boston House Price Prediction
A project built as part of the udacity machine learning ND
Content for Udacity's Machine Learning curriculum
Udacity - Machine Learning Engineer Nanodegree Project - Boston House Price Prediction
Predictin Boston Housing Prices using Regression
Boston Housing Prediction - 2nd project for Udacity's Machine Learning Nanodegree
Predicting Boston Housing Prices
Predicting Boston Housing Prices MLFND Project
Repository for Assignment 1 for CS 725
This repo contains projects developed in Machine Learning Foundation Nanodegree.
Implementing linear regression on Boston Housing dataset using scikit-learn
Regression models on Boston Houses dataset
Machine Learning in python
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. P…
Model Evaluation and Validation
Notes and Code Files from Udacity MLND
These projects helps you how we can apply the machine learning algorithm to solve a real world problems.
Predict the best selling price of a new home in Boston
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