pandas
<>
numpy
<>
plotly/dash
<>
scikit-learn
- Boston, MA
-
04:36
(UTC -05:00)
Pinned Loading
-
portfolio-top-level-summary
portfolio-top-level-summary Publicsample questions and answers from a dataset on smartphone ratings
Jupyter Notebook
-
portfolio-cohorts
portfolio-cohorts Publicmock up data on different brands of food items showing how data vis can point to clusters in low dimensional space
Python
-
portfolio-missing-values
portfolio-missing-values Publicxgboost regression model to impute missing values in sample dataset
Jupyter Notebook
-
portfolio-EDA-ml-classification-digitalmarketing
portfolio-EDA-ml-classification-digitalmarketing PublicMachine learning with Gradient Descent, visuals with plotly=1.15
Jupyter Notebook
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.