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derivative-rules-ds-apply-000

dsc-polynomial-regression-lab

dsc-running-jupyter-locally-lab

evergreen_housing

Pricing prediction and features analysis using multiple linear regression from data associated with houses sold in King County, Washington between 9-9-2014 and 1-10-2015.

excel-to-python-ds-apply-000

expressing-functions-ds-apply-000

flatiron_data_science_blog

for-loops-readme-ds-apply-000

introduction-to-derivatives-ds-apply-000

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

multivariable-calculus-gradient-descent-ds-apply-000

multivariable-functions-ds-apply-000

nonlinear-derivatives-readme-ds-apply-000

open-data

Free football data from StatsBomb

partial-derivatives-lab-ds-apply-000

plotting-data-lab-ds-apply-000

plotting-data-readme-ds-apply-000

python-dictionaries-lab-ds-apply-000

python-dictionaries-readme-ds-apply-000

python-for-loops-lab-ds-apply-000

rules-for-derivatives-lab-ds-apply-000

san_bay_tel

Analysis of data associated with telecommunications customers in the San Francisco Bay area using classification modeling to predict churn

the_chiwaukee_group

Analyze monthly median housing sales values data for Lake County, IL and Kenosha and Racine Counties, WI, between 1997 and 2017 and forecast real estate prices using time series modeling.

theoretical_new_microsoft_movie_studio

An analysis of data from IMDB and Box Office Mojo indicating features of movies which correlate with higher total gross. The theoretical scenario for the analysis was Microsoft seeking insight for the creation of a new movie studio. This analysis could be used, within the theoretical scenario, by Microsoft to target specific factors for the films produced by its new studio which would increase the likelihood of a higher total gross.

why-math-ds-apply-000

womens_soccer_expected_goals_model

Classification model for expected goals (xG) in women's club soccer, predicting the likelihood that a shot will score using data extracted from StatsBomb.

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