Welcome to the 100 Days of Machine Learning series — one of the most watched and most trusted and Evergreen Machine Learning playlists on Indian YouTube, followed by millions of learners who want to build a strong foundation in ML. This playlist is designed as a step-by-step roadmap to master Machine Learning, starting from the absolute basics and gradually moving toward advanced concepts and real-world implementation. Instead of jumping directly into code, the series focuses on building clear intuition, strong fundamentals, and practical understanding of how machine learning actually works. What you will learn in this series: • AI vs Machine Learning vs Deep Learning • Types of Machine Learning (Supervised, Unsupervised, Reinforcement Learning) • Data preprocessing and feature engineering • Exploratory Data Analysis (EDA) • Important ML algorithms (Regression, Classification, Clustering, etc.) • Model evaluation and validation techniques • Real-world ML workflow and best practices Each video covers a specific concept in a simple and structured way so you can build knowledge one step at a time, just like a 100-day learning roadmap. If you want to build a strong Machine Learning foundation for Data Science, AI, or ML Engineering, this playlist will guide you from beginner concepts to industry-level understanding. Notes: https://learnwith.campusx.in/s/store/courses/YouTube%20Notes
Curated by: CampusX (134 videos)
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 support@campusx.in ⌚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
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