Explain Kernel Trick for SVM

Explain Kernel Trick for SVM A Kernel Trick is a simple method where Non-Linear data is projected onto a higher dimension space so as to make it easier to classify the data where it could be linearly divided by a plane. This is mathematically achieved by the Lagrangian formula using Lagrangian multipliers. About Me: I completed my bachelor's degree in computer science from the Indian Institute of Technology, Delhi. After that, I completed my master's in management from Johnson College of Business, Cornell. Currently, I am working at Amazon, Seattle, as a full-time software engineer. I am passionate about coding, sharing technical stuff, and the life experiences that help me in building a successful career. If you like my videos, please subscribe & stay tuned! 👇👉🥀 Follow us on 👇🥀 👉💓 Instagram: https://www.instagram.com/shiv.codes/ 💖 👉💓 LinkedIn: https://www.linkedin.com/in/goelshivank12/ 💖 👉💓 Website: https://www.shivankgoel.com/startup-talks/ 💖 👉💓 Facebook: https://www.facebook.com/techlifewithshivank 💖 👉💓 Github : https://github.com/shivankgoel 💖