L1 & L2 Regularization Techniques | Lasso Ridge | Python
⭐️ Content Description ⭐️
In this video, I have explained about regularization techniques like L1 & L2 which uses Lasso & Ridge. The regularization techniques are used to reduce overfitting and also remove least important features.
GitHub Code Repo: https://bit.ly/datascienceconcepts
🌐 Website: https://www.hackersrealm.net
🔔 Subscribe: http://bit.ly/hackersrealm
🗓️ 1:1 Consultation with Me: https://calendly.com/hackersrealm/con...
📷 Instagram: / aswintechguy
🔣 Linkedin: / aswintechguy
🎯 GitHub: https://github.com/aswintechguy
🎬 Share: • L1 & L2 Regularization Techniques | L...
⚡️ Data Structures & Algorithms tutorial playlist: http://bit.ly/dsatutorial
😎 Hackerrank problem solving solutions playlist: http://bit.ly/hackerrankplaylist
🤖 ML projects tutorial playlist: http://bit.ly/mlprojectsplaylist
🐍 Python tutorial playlist: http://bit.ly/python3playlist
💻 Machine learning concepts playlist: http://bit.ly/mlconcepts
✍🏼 NLP concepts playlist: http://bit.ly/nlpconcepts
🕸️ Web scraping tutorial playlist: http://bit.ly/webscrapingplaylist
Make a small donation to support the channel 🙏🙏🙏:-
🆙 UPI ID: hackersrealm@apl
💲 PayPal: https://paypal.me/hackersrealm
🕒 Timeline
00:00 Introduction to Regularization Techniques
03:15 Lasso (L1)
05:32 Ridge (L2)
07:14 Visualization of Selected Features & Analysis
#regularization #mlconcepts #hackersrealm #deeplearning #machinelearning #datascience #model #project #artificialintelligence #beginner #analysis #python #tutorial #aswin #ai #dataanalytics #data #bigdata #programming #datascientist #technology #coding #datavisualization #computerscience #pythonprogramming #analytics #tech #dataanalysis #programmer #statistics #developer #ml #coder #dataanalyst
Смотрите видео L1 & L2 Regularization Techniques | Lasso Ridge | Python онлайн без регистрации, длительностью часов минут секунд в хорошем качестве. Это видео добавил пользователь Hackers Realm 15 Май 2024, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 294 раз и оно понравилось 10 людям.