While working on machine learning in Python, two of the most used libraries are Pandas and NumPy. They are used to complete all sorts of tasks from Data Cleaning to vector transformation and even simple visualizations.
Join us as Data Science instructors from Byte Academy show you how to master these libraries.
Reading and Writing Data (Pandas)
Data Cleaning and Manipulation (Pandas)
Building models using (NumPy)
Broadcasting and Indexing to increase code speed (NumPy)
About the Instructor.
Uday Keith has a background in economics and mathematics from the London School of Economics, loves slicing and dicing data, and has a keen interest in applying Data Science to all things finance and economics.
Note: Please do bring your laptops along as this will be a hands-on session. Please ensure that you have Pandas and NumPy installed and have a JupyterNotebook installed or have the Anaconda Docker.