acdick

dynamic_speed_optimization

Modeling ship performance curves to reduce fuel consumption

understanding_genetic_algorithms

Solving a Battleship board game as an optimization problem

tokyo_2020_olympic_champions

Predicting the medal table of the Summer Games

touch_driven_recommender_engines

Farfetch: Understanding the customer

framing_data_with_dataframes

Channeling open data into business frameworks

updating_structural_finite_element_models

Bayesian optimization of automotive car body designs

acdick.github.io

Adam C Dick: Homepage

ds-matplotlib-intro-lab-nyc-ds-career-031119

dsc-0-10-04-cov-corr-lab-nyc-ds-career-031119

dsc-0-10-07-simple-linear-regression-lab-nyc-ds-career-031119

dsc-0-10-09-coefficient-of-determination-lab-nyc-ds-career-031119

dsc-0-10-10-complete-regression-nyc-ds-career-031119

dsc-01-10-13-regression-statsmodels-lab-nyc-ds-career-031119

dsc-01-10-16-regression-EOD-Lab-nyc-ds-career-031119

dsc-1-01-04-the-data-science-process-nyc-ds-career-031119

dsc-1-02-14-measures-of-central-tendency-quiz-nyc-ds-career-031119

dsc-1-02-17-implementing-statistics-with-functions-lab-nyc-ds-career-031119

dsc-1-03-13-customizing-visualizations-with-matplotlib-lab-nyc-ds-career-031119

dsc-1-05-06-selecting-data-lab-nyc-ds-career-031119

dsc-2-20-11type-1-and-type-2-errors-lab-nyc-ds-career-031119

dsc-2-20-17-ab-testing-lab-nyc-ds-career-031119

dsc-2-22-14-document-classification-using-naive-bayes-lab-nyc-ds-career-031119

dsc-3-25-03-managing-time-series-data-lab-nyc-ds-career-031119

dsc-3-25-04-visualizing-time-series-data-lab-nyc-ds-career-031119

dsc-3-25-06-testing-for-trends-lab-nyc-ds-career-031119

dsc-3-25-08-removing-trends-lab-nyc-ds-career-031119

dsc-3-26-03-basic-time-series-models-lab-nyc-ds-career-031119

dsc-3-26-05-correlation-and-autocorrelation-in-time-series-lab-nyc-ds-career-031119

dsc-4-39-04-singular-value-decomposition-numpy-scipy-lab-nyc-ds-career-031119

scenario_planning_for_the_2035_cruise_industry

A Blue Ocean Strategy to create new market space