Working with CSV files | Day 15 | 100 Days of Machine Learning
Channel: CampusX
Date: 2021-03-30

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 support@campusx.in

⌚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