100 Days of Machine Learning | CampusX - Working with CSV files | Day 15 | 100 Days of Machine Learning

The CSV file format is a popular format supported by many machine learning frameworks. The format is variously referred to "comma-separated values" or "character-separated values." A CSV file stores tabular data (numbers and text) in plain text form. A CSV file consists of any number of records, separated by line breaks of some kind. Each record consists of fields, separated by a literal comma. In some regions, the separator might be a semi-colon. Typically, all records have an identical number of fields, and missing values are represented as nulls or empty strings. There are a number of ways to load a CSV file in Python. ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in/s/store ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 Instagram: https://www.instagram.com/campusx.official E-mail us at [email protected] ⌚Time Stamps⌚ 00:00 - Intro 00:54 - Process of Gathering Data 04:45 - Different types of file formats 05:45 - Code Demo with Jupyter Notebook 06:35 - Methods to handle CSV files