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)
Curious about K Nearest Neighbors (KNN) in the world of machine learning? This video is your easy-to-follow guide, breaking down KNN without the techy jargon. 🌟 Basic Concept: Imagine finding friends in your neighborhood; KNN works kind of like that in the machine learning world. 🤖 How It Works: We'll simplify the process of classifying data points based on their closest neighbors. 🚀 Practical Applications: See where KNN shines and how it's used in real-world scenarios. 💡 Why It's Cool: KNN is like having a reliable buddy system for making predictions in machine learning. It's simple but powerful! 🔗 Resources: Code - https://www.kaggle.com/code/campusx/knn-on-breast-cancer-dataset Coding from scratch - https://www.youtube.com/watch?v=ER9TckLET8g&ab_channel=CampusX KNN Task: https://colab.research.google.com/drive/19RMdVeUX18KMnvDBpMWHMR9YvavlTFf7?usp=sharing Solution: https://colab.research.google.com/drive/13y3NkXBnB646J1CAeIksFRKJQCYO3GbT?usp=sharing ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in ============================ 📱 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 👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science! 💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you! ⌚Time Stamps⌚ 00:00 - Intro 01:04 - KNN Intuition 08:26 - KNN on breast cancer dataset / Code Example 17:35 - How to select K? 23:28 - Decision Surface 29:58 - Overfitting and Underfitting in KNN 39:08 - Limitations of KNN 51:48 - Outro ✨ Hashtags✨ #KNNExplained #MachineLearningBasics #SimplifiedTech #LearnWithData #EasyMachineLearning
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