prabagini Goto Github PK

dsc-yelp-api-lab

dsc-your-first-jupyter-notebook

dsc-z-score-p-value

dspt-week1-pythonpractice

evaluating-regression-lines-data-science-intro-000

evaluating-regression-lines-lab-data-science-intro-000

excel-to-python-data-science-intro-000

excel-to-python-ds-apply-000

expressing-functions-data-science-intro-000

expressing-functions-ds-apply-000

filter-readme-python-data-science-intro-000

for-loops-readme-data-science-intro-000

for-loops-readme-ds-apply-000

function-arguments-lab-data-science-intro-000

function-arguments-readme-data-science-intro-000

git_practice

gradient-descent-data-science-intro-000

gradient-descent-step-sizes-data-science-intro-000

gradient-descent-step-sizes-lab-data-science-intro-000

gradient-to-cost-function-data-science-intro-000

home-price-analysis

King County is located in the U.S. state of Washington. The population was 2,252,782 in the 2019 census estimate, making it the most populous county in Washington, and the 12th-most populous in the United States. All this growth has increased demand for housing and caused home prices to skyrocket. A client in King County, WA wants to advise homeowners on home improvement projects that will add sale value of their homes. This is a complex market for home buyers and my goal is to build a linear regression model to represent home sale prices in King County, and use it to advise homeowners on which home improvement projects will add to their home sale values.

introduction-to-derivatives-data-science-intro-000

introduction-to-derivatives-ds-apply-000

introduction-to-derivatives-lab-data-science-intro-000

introduction-to-derivatives-lab-ds-apply-000

introduction-to-functions-lab-data-science-intro-000

jupyter-notebook-introduction-data-science-intro-000

learn-co-sandbox

map-filter-lab-python-data-science-intro-000

map-readme-python-data-science-intro-000