⭐️ 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 | Lasso ...
⚡️ 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
On this page of the site you can watch the video online L1 & L2 Regularization Techniques | Lasso Ridge | Python with a duration of hours minute second in good quality, which was uploaded by the user Hackers Realm 15 May 2024, share the link with friends and acquaintances, this video has already been watched 706 times on youtube and it was liked by 18 viewers. Enjoy your viewing!