100 Days of Machine Learning | CampusX - Fetching Data From an API | Day 17 | 100 Days of Machine Learning

Getting complete and high-performance data is not always the case in Machine Learning. While working on any real-world problem statement or trying to build any sort of project as Machine Learning Practioner you need the data. To accomplish the need for data most of the time, it is required to fetch data from API and if the website does not provide API, then the only option left is Web Scraping. In this tutorial, we are going to learn how you can use API, extract data and save it in the form of a data frame. Fetching Data from an API involves accessing and retrieving structured data from web services, offering a convenient way to obtain real-time or specific information. Code used: https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day17-api-to-dataframe TMDB API : https://developers.themoviedb.org/ RapidAPI : https://rapidapi.com/collection/list-of-free-apis JSON Viewer: http://jsonviewer.stack.hu/ ============================ 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 00:30 - What is an API? 05:45 - Getting TMDB data with API 12:10 - Code Demo 20:33 - Uploading Dataset on Kaggle