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Machine Learning Tutorial Python - 18: K nearest neighbors classification with python code
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Machine Learning Tutorial Python | Machine Learning For Beginners - Machine Learning Tutorial Python - 18: K nearest neighbors classification with python code

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This course includes

  • 12 hours of video
  • Certificate of completion
  • Access on mobile and TV

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In this video we will understand how K nearest neighbors algorithm work. Then write python code using sklearn library to build a knn (K nearest neighbors) model. The end, I have an exercise for you to practice concepts you learnt in this video. Code: https://github.com/codebasics/py/blob/master/ML/17_knn_classification/knn_classification_tutorial.ipynb Exercise: https://github.com/codebasics/py/blob/master/ML/17_knn_classification/knn_exercise.md ⭐️ Timestamps ⭐️ 00:00 Theory 03:51 Coding 14:09 Exercise Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses. Machine learning tutorial playlist for beginners: https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw 🌎 My Website For Video Courses: https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description Need help building software or data analytics and AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website. 🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #️⃣ Social Media #️⃣ 🔗 Discord: https://discord.gg/r42Kbuk 📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/ 📸 Instagram: https://www.instagram.com/codebasicshub/ 🔊 Facebook: https://www.facebook.com/codebasicshub 📱 Twitter: https://twitter.com/codebasicshub 📝 Linkedin (Personal): https://www.linkedin.com/in/dhavalsays/ 📝 Linkedin (Codebasics): https://www.linkedin.com/company/codebasics/ ❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

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