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)
Machine learning has given computer systems the ability to automatically learn without being explicitly programmed. But how does a machine learning system work? So, it can be described using the life cycle of machine learning. Machine learning life cycle is a cyclic process to build an efficient machine learning project. The main purpose of the life cycle is to find a solution to the problem or project. The machine learning life cycle involves seven major steps, which are given below: 1. Gathering Data 2. Data preparation 3. Data Wrangling 4. Analise Data 5. Train the model 6. Test the model 7. Deployment ============================ 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 ✨ Hashtags✨ #100DaysOfMachineLearning #MachineLearningFullCourse #MachineLearningInHindi ⌚Time Stamps⌚ 00:00 - Intro 01:02 - Background of the Topic 01:40 - What is Software Development Life Cycle 04:40 - Framing the problem 06:00 - Gathering the Data 08:32 - Data Pre-Processing 10:25 - EDA 13:20 - Feature Engineering and Selection 15:43 - Model Training, Evaluation and Selection+ 19:23 - Model Deployment 21:23 - Beta Testing 22:45 - Optimizing the Model
Automatically track which videos you have watched. Your completion status is updated at a glance, preventing you from re-watching episodes by mistake.
Never lose your spot. Our custom player remembers your exact video and timestamp, allowing you to dive right back in seamlessly.
Sync your playlist states, watched progress, and premium preferences across your desktop, laptop, tablet, and mobile phone automatically.
Simply paste any YouTube playlist URL or channel link in the application search bar to immediately generate a custom, sorted, and progress-tracked workspace. No registration required to start.
Explore Playlist Guides & How-Tos