osemn

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lopez-christian / House-Prices-Linear-Regression-Project

This repository includes my House Prices Multi-Variate Linear Regression-Flatiron School Module 2 Project. In this project I made use of the OSEMN methodology incorporating packages such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.

python machine-learning numpy linear-regression scikit-learn jupyter-notebook pandas seaborn kaggle datascience flatiron-school matplotlib grade flatiron-school-project house-prices scikit-learn-python sellers osemn king-county

Updated Apr 28, 2020
Jupyter Notebook

rushabhkela / Data-Science-with-R

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This repository contains different scenarios and its solutions with R programming.

data-science r programming evaluation visualisation imputation modelling preprocessing osemn

Updated Dec 29, 2021
R

andrewwongls / dsc-1-final-project-online-ds-sp-000

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In this project, I used the OSEMN data science workflow to obtain, scrub, explore, model, and interpret a King County dataset with a multivariate linear regression to predict the sale price of houses.

data-science sql data-visualization osemn

Updated Oct 26, 2019
Jupyter Notebook

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