How to handle Imbalanced Classes in Dataset | Python

⭐️ Content Description ⭐️ In this video, I have explained on how to handle imbalanced classed in the dataset. We can avoid bias to single class by handling the distribution of the classes. Oversampling and Undersampling techniques are used to balance the no. of the samples in the dataset. Text-based Tutorial: https://www.hackersrealm.net/post/handle-imbalanced-classes-in-dataset 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/consult 📷 Instagram: https://www.instagram.com/aswintechguy 🔣 Linkedin: https://www.linkedin.com/in/aswintechguy 🎯 GitHub: https://github.com/aswintechguy 🎬 Share: https://youtu.be/rVuUqpyPwEs ⚡️ 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 Imbalanced Class Distribution 02:32 Over-Sampling Techniques 08:21 Under-Sampling Techniques 12:00 Combine Over-Sampling and Under-Sampling #classimbalancement #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