GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Chapter 10.9 Update: The fbprophet package is now rebranded as prophet. The documentation can be found here: https://facebook.github.io/prophet/docs/quick_start.htmlAbout Code and data files for "The Beginner's Guide to Data Science" by Robert Ball and Brian Rague Resources Readme Lice...
4. Push: Before we learn what and how the push operation is used, we need to know what are branches and master branches in GitHub. So let’s look into that. Sometimes while working on projects or sometimes over time, you will get different ideas and you will want to try them out wit...
data visualization is also included in data exploration. For example, as a GitHub data scientist, you might use line charts to show the number of commits over time. Bar charts could be used to compare the popularity of different programming languages used on the platform. Network graphs could ...
Get started on the problem immediately through this DataLab project. Dataset to use: Implementing Multi-input OCR System Project Advanced Computer Vision Projects Once you’ve mastered some of the intermediate techniques and challenged yourself with some suitable projects, it’s time to turn your ...
In-Demand Tech & Computer Science Become a full-stack engineer in just 16 weeks through curriculum that includes algorithms, data structures, networking, and databases. Learn Python and JavaScript, the two most in-demand programming languages, plus state-of-the-art AI tools like GitHub Copilot,...
Overall, Streamlit is an easy-to-learn framework that allows data science teams to create free predicitve analytics web applications in as little as a few hours. The Streamlit gallery shows many open-source projects that have used it for analytics and machine learning. You can also find ...
Continuous Machine Learning (CML) is an open-source library that allows you to implement continuous integration within your machine learning projects. We will be using the "iterative/setup-cml" GitHub Action that uses CML functions in the workflow to automate the generation of the model evaluation...
This step involves launching a JupyterLab notebook to begin writing Python code. Jupyter Notebook is an interactive Python-based computing platform that enables data scientists to combine code, visualizations, video, images, text and other media into highly interactive data science projects. ...
Data Science Solving the resource constrained project scheduling problem (RCPSP) with D-Wave’s hybrid constrained quadratic model (CQM) Luis Fernando PÉREZ ARMAS, Ph.D. August 20, 2024 29 min read Back To Basics, Part Uno: Linear Regression and Cost Function ...