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The Boston housing dataset is a dataset that has median value of the house along with 13 other parameters that could potentially be related to housing prices. These are the factors such as socio-economic conditions, environmental conditions, educational facilities and some other similar factors. There are 506 observations in the data for 14 ...
The Boston housing dataset contains 506 samples and 14 dimensions or attributes. We developed and tested distinct types of regression models such as linear, polynomial, Decision tree, Ridge and Lasso on this dataset. To compare the findings, we utilized cross-validation provided by Scikit Learn.
The origin of the boston housing data is Natural. This dataset may be used for Assessment. The dataset contains a total of 506 cases. The order of the cases is mysterious. There are 14 attributes in each case of the dataset. They are: INDUS - proportion of non-retail business acres per town.
May 24, 2024 · Dataset: Boston Housing Dataset (Kaggle) It is the most common dataset that is used by ML learners to understand how Multiple Linear Regression works. This dataset contains information collected from the U.S. Census about housing in the suburbs of Boston. The dataset contains 14 columns (features) with labels like average number of rooms (RM ...
Jul 12, 2020 · Dataset Overview. 1. CRIM per capital crime rate by town. 2. ZN proportion of residential land zoned for lots over 25,000 sq.ft.. 3. INDUS proportion of non-retail business acres per town. 4. CHAS ...
It's a popular housing dataset, housing and statistic models are quite intertwined. This is a simple regression analysis. There's not enough data to go deeper than that, we could obviously evaluate it, and we will, but 500 rows, for data science, is very, very little [ ]
The Boston housing data was collected in 1978 and each of the 506 entries represent aggregated data about 14 features for homes from various suburbs in Boston, Massachusetts. For the purposes of this project, the following preprocessing steps have been made to the dataset: 16 data points have an 'MEDV' value of 50.0.
