semvec/pypi-packages huggingface dataset:
gloriahousing 0.0.1
Predicts Median housing value
License: MIT
Keywords: median

Predicts Median housing value

The housing data can be downloaded from https://raw.githubusercontent.com/ageron/handson-ml/master/. The script has codes to download the data. We have modelled the median house value on given housing data. 

The following techniques have been used: 

 - Linear regression
 - Decision Tree
 - Random Forest

Steps performed
 - We prepare and clean the data. We check and impute for missing values.
 - Features are generated and the variables are checked for correlation.
 - Multiple sampling techinuqies are evaluated. The data set is split into train and test.
 - All the above said modelling techniques are tried and evaluated. The final metric used to evaluate is mean squared error.

Change Log
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0.0.1 (13-11-2020)
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-First Release
TOPSIS-MITALI-101803402 0.05
A package for python implemetation of TOPSIS method for multiple criteria decision making
License: MIT
Keywords: SOME,MEANINGFULL,KEYWORDS

It is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion