Skill tracks guide your data science learning in Python, R, and SQL. Become an expert in programming, data manipulation, machine learning, statistics, and more.
Maybe this time you can use your shiny new predictive model to select the bottle. But before you go, let’s save your hard work so you can use the model in the future. It’s really easy to do so: Python 1 joblib.dump(clf, 'rf_regressor.pkl') And that’s it....
Written on Python and runs on Mac, Windows, and Ubuntu Linux. Vigranumpy - Python bindings for the VIGRA C++ computer vision library. OpenFace - Free and open source face recognition with deep neural networks. PCV - Open source Python module for computer vision. [Deprecated] face_recognition ...
Written on Python and runs on Mac, Windows, and Ubuntu Linux. Vigranumpy - Python bindings for the VIGRA C++ computer vision library. OpenFace - Free and open source face recognition with deep neural networks. PCV - Open source Python module for computer vision. [Deprecated] face_recognition ...
, and on business and technology basics — from learning how to code Python to understanding online marketing foundations. In the list of top courses that Gen Z took last year, you'll notice that a majority of them are hard skills. Fun fact: Gen Z spends 12% more of their time on...
An ongoing curated list of frameworks, books, articles, talks, screencasts, recordings, libraries, learning tutorials and shiny resources about Javascript Development. - veilair/javascript-development
inflexible), or have required knowing how to use a generalized tool like BUGS, JAGS, or Stan. This third reason has recently been shattered in the R world by not one but two packages:brmsandrstanarm. Interestingly, both of these packages are elegant front ends to Stan, viarstanandshiny...
Model consumption (exposing as API, Dockerization, and DB storage): By implementing the cloud infrastructure,Azure ML, Google,AWS, etc., can expose a model easily as an API. Python and R implement Flask and Shiny R respectively, to deploy a model as an API. ...
(We also have a series of courses on using Shiny for learners who are interested in making their own.)The explorable exercises have been put to good use in DataCamp's "For Everyone" series of courses, which are designed for those who need to understand data but don't have a data ...
Besides numerous Python machine learning libraries like pandas, as well as Plotly that supports both R and Python, the team chooses dplyr, ggplot2, tidyr, and Shiny R libraries. “These tools are free to use, but you have to know programming at least a little to use them, and sometimes...