Model evaluation and validation applied to Boston Housing Prices dataset using Python
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Updated
Apr 8, 2017 - Jupyter Notebook
Model evaluation and validation applied to Boston Housing Prices dataset using Python
Project 1 for Udacity Machine Learning Nanodegree
Used machine learning techniques to predict the prices of houses in the Boston housing market dataset.
Machine Learning Udacity Nanodegree Program, Project 1, Predicting Boston Housing Prices
Understanding regression.
Predicting Boston Housing Prices.
Implementing linear regression on Boston Housing dataset using scikit-learn
Regression models on Boston Houses dataset
Udacity MLND P1: Predicting Boston Housing prices
In this project, you will 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.
Comparison of model selection methods for Boston dataset
Udacity Machine Learning Course Predicting Boston Housing Prices
Udacity project on using linear regression to predict housing prices in Boston.
Exploratory Data Analysis on Boston Housing Dataset . This data set contains the data collected by the U.S Census Service for housing in Boston, Massachusetts.
Predict the best selling price of a new home in Boston
This repository is dedicated for learning linear regression on Boston housing data set using R
Predicting boston housing prices using logistic regression, gridsearchcv
Tensorflow Lattice Regression for predicting house prices
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