Engineer, Strategy Consultant, Aspiring Data Scientist
A virtual environment is an isolated container for Python projects. Think of them as folders where you can install a version of the Python interpreter, libraries, and their dependencies that are isolated from other folders (virtual environments) including those installed as part of your core operating system.
In simple terms, version control is a methodology used to track changes in a file. For those who have used the “track changes” button in MS Word, this might seem familiar, though version control systems (VCS) have added functionalities including the ability to handle multiple users editing the same file simulatenously, which is something very common in this time and age. ‘Git’ is one of the version control systems out there, and it is usually used in conjunction with GitHub with is a cloud-based hosting service that lets you manage Git repositories (think folders to save your projects that sync up to your google drive).
The purpose of this blog is to capture my learning journey to become a self-taught data scientist. I’ll take advantage of LM’s 2020 Data Science Challenge to provide the environment (an existing business problem, real world data, and a community willing to help) and plan to learn as many skills as possible including: version control, data wrangling, data visualization, feature engineering, model evaluation and selection, packaging and deployment. Looking forward to the next month!
