Another common mistake when working with data is not organizing your directory into categories, which causes clutter and confusion. In this video, learn how to create subdirectories that keep your files organized.
- [Instructor] Another common mistake … to avoid when working with data … is not organizing your directory. … It's important to organize all the files in your directory … into relevant categories, otherwise things can get messy … and you may get confused about what each file is for … and how the files relate to each other. … Also, when you share your work with a teammate … they can navigate through your directory more easily … if it's categorized. … To illustrate how to create subcategories in your directory, … I will be walking through an example. … Let's take this directory as an example. … One of the first things you might notice … is that there are several files in here … and it looks cluttered. … First, let's look at the file types. … There are some IPython notebooks … which have the .IPYNB extension, … as well as some CSV or comma-separated values files … which have the .CSV extension, … and some text files, which have the .TXT extension. … Next, let's take a closer look at what each file is. …
Skill Level Intermediate
1. Avoid Mistakes in Coding Practices
2. Avoid Mistakes in Structuring Code
3. Avoid Mistakes in Handling Data
4. Avoid Mistakes in Machine Learning
Using redundant features1m 45s
Get started with Python1m 7s
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