Mean Shift Clustering | How Mean Shift Clustering Works | Scikit Learn Tutorial | Intellipaat

🔥Enroll for Machine Learning Course and Get Yourself Job Ready: https://intellipaat.com/machine-learn... #MeanShiftClustering #HowMeanShiftClusteringWorks #ScikitLearnTutorial #Intellipaat In this video, we will be going to focus on one of the types of clustering known as Mean Shift Clustering. Mean shift clustering is a non-parametric clustering algorithm that aims to discover "blobs" or dense regions in a dataset. We will cover what Mean Shift Clustering is, and the work behind this clustering algorithm, and towards the end, we will also implement it using the scikit-learn library. So, please stay tuned with us until the end. 🔵 Following topics are covered in this session: 00:00 - Introduction 01:22 - What is Mean Shift Clustering? 05:49 - How does Mean Shift Clustering Work? 07:58 - Advantages and Disadvantages of Mean Shift Clustering 08:49 - Applications of Mean Shift Clustering 09:26 - Mean Shift Clustering Implementation ✅ What do you mean by clustering? Clustering is a data analysis technique that groups similar data points together. It's like sorting a pile of socks by color or size. Clustering algorithms can handle unlabeled data, meaning they don't need to know the categories in advance. They work by finding patterns and similarities in the data and grouping points based on those similarities. ✅ What is the mean shift clustering algorithm? Mean Shift Clustering is a non-parametric clustering algorithm that groups data points based on their density. It works by iteratively shifting data points towards the mode (i.e., the highest density) of the distribution of points within a certain radius. The algorithm stops when the points converge to a local maximum of the density function. These local maxima represent the clusters in the data. ➡️ About the Course Explore this Machine Learning course taught by IIT Madras faculty and industry experts that will help you master Machine Learning algorithms. This ML certification training will help you master Python, machine learning algorithms, statistics, and AI skills. Enroll in this training course and get your Machine Learning certification from IITM Pravartak. ➡️Who should take this course? Experts have designed our ML course so that anyone, from a fresher/undergraduate or undergrad to a professional seeking a career change, can benefit from it. ✅ Key Features - (Course Features) 👉🏼50+ Live sessions across seven months 👉🏼218 Hrs Self-paced Videos 👉🏼200 Hrs Project & Exercises 👉🏼Learn from IIT Madras Faculty and Industry Practitioners 👉🏼1:1 with Industry Mentors 👉🏼Resume Preparation and LinkedIn Profile Review 👉🏼24*7 Support 👉🏼No-cost EMI Option What’s Covered in This Program? - ✅Preparatory Session - Linux and Python ✅Data Wrangling with SQL ✅Python With Data Science ✅Linear Algebra and Advanced Statistics ✅Machine Learning ✅Supervised and Unsupervised Learning in ML ✅Performance Metrics ✅Deep Learning Using TensorFlow ✅Data Science Capstone Project ✅Business Case Studies 📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb ⏩ Salesforce Playlist:    • Salesforce Training Videos for Beginners   ▶️ Intellipaat Achievers Channel:    / @intellipaatachievers   🚀 Intellipaat Advanced Certifications 🌕 Advanced Certification in Cloud Computing: https://intellipaat.com/advanced-cert... 🌕 Advanced Certification in Data Science: https://intellipaat.com/advanced-cert... 🌕 Advanced Certification in Full Stack Web Development: https://intellipaat.com/web-developme... 🌕 Advanced Certification in UI UX Design: https://intellipaat.com/UI-UX-course-... 🌕 Advanced Certification in Electric Vehicle Design: https://intellipaat.com/advanced-cert... 📌Website: https://intellipaat.com/ 📌Facebook:  / intellipaatonline   📌Telegram: https://t.me/s/Learn_with_Intellipaat 📌Instagram:   / intellipaat   📌LinkedIn:   / intellipaat-software-solutions   📌Twitter:   / intellipaat   📚For more information, please write back to us at [email protected] or call us at IND: 7847955955 / USA: 1-800-216-8930