Python for Data Science 0 - Starting Discovering Python, Types, Generator, Yield, Packages creation 1 - Array Manipulating Numpy arrays, with numbers and images 2 - Database Using Pandas for CSV extraction, MatplotLib for visualization 3 - Object Oriented Programming Creating class, parents, subclas...
Intro to Python for Data Science Workshop Jupyter Notebook 32 MIT 23 6 1 Updated Jul 26, 2024 python-training-cincinnati-insurance Public Intro to Python training developed for, and delivered to, Cincinnati Financial Jupyter Notebook 3 MIT 0 0 0 Updated Aug 7, 2023 .github Public ...
It enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the details of CUDA programming. cuML's Python API usually matches the scikit-learn API. To learn more about this project, checkout this GitHub repository. 12. Optuna ...
Then, I want to remove all the columns that are not interested in our context, since we only want to know the name of the repo and the number of stars. I’ll also add one more column calledyear_on_githubto catch how many years this project has been created on GitHub. repo_df = ...
because it could run Python and many of the educational resources for the Raspberry Pi use Python. Another educational project that has had a lot of attention recently is the BBC micro:bit. It's a small embedded device about the size of a credit card. A million of these were given to ...
Until recently, much of data science analysis was performed with expensive commercial products, but in the past few years the use of open source alternatives has increased greatly. Based on conversations with my colleagues, the three most common open source approaches for data science analysis are ...
Until recently, much of data science analysis was performed with expensive commercial products, but in the past few years the use of open source alternatives has increased greatly. Based on conversations with my colleagues, the three most common open source approaches for data ...
Until recently, much of data science analysis was performed with expensive commercial products, but in the past few years the use of open source alternatives has increased greatly. Based on conversations with my colleagues, the three most common open source approaches for data science analysis are ...
Then, I want to remove all the columns that are not interested. I’ll also add one more column calledyear_on_githubto catch how many years that this project had been created on GitHub. repo_df = repo_df[['name', 'full_name', 'html_url', 'created_at', 'stargazers_count', 'watch...
Advanced. Large-scale projects like a full-stack web application, a complex data analysis project, or a deep learning model usingTensorFloworPyTorch. We’ve got a full guide onhow to build a great data science portfolio, which covers a variety of different examples. And don’t forget; you ...