Handling imbalanced dataset in machine learning | Deep Learning Tutorial 21 (Tensorflow2.0 & Python)

Credit card fraud detection, cancer prediction, customer churn prediction are some of the examples where you might get an imbalanced dataset. Training a model on imbalanced dataset requires making certain adjustments otherwise the model will not perform as per your expectations. In this video I am discussing various techniques to handle imbalanced dataset in machine learning. I also have a python code that demonstrates these different techniques. In the end there is an exercise for you to solve along with a solution link.

Code: https://github.com/codebasics/deep-le...
Path for csv file: https://github.com/codebasics/deep-le...
Exercise: https://github.com/codebasics/deep-le...
Focal loss article: https://medium.com/analytics-vidhya/h....

#imbalanceddataset #imbalanceddatasetinmachinelearning #smotetechnique #deeplearning #imbalanceddatamachinelearning

Topics
00:00 Overview
00:01 Handle imbalance using under sampling
02:05 Oversampling (blind copy)
02:35 Oversampling (SMOTE)
03:00 Ensemble
03:39 Focal loss
04:47 Python coding starts
07:56 Code - undersamping
14:31 Code - oversampling (blind copy)
19:47 Code - oversampling (SMOTE)
24:26 Code - Ensemble
35:48 Exercise

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=des... for my affordable video courses.

Previous video:    • Dropout Regularization | Deep Learnin...  

Deep learning playlist:    • Deep Learning With Tensorflow 2.0, Ke...  

Machine learning playlist :    • Machine Learning Tutorial Python | Ma...  

🌎 My Website For Video Courses: https://codebasics.io/?utm_source=des...

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.

#️⃣ Social Media #️⃣
🔗 Discord:   / discord  
📸 Dhaval's Personal Instagram:   / dhavalsays  
📸 Instagram:   / codebasicshub  
🔊 Facebook:   / codebasicshub  
📝 Linkedin (Personal):   / dhavalsays  
📝 Linkedin (Codebasics):   / codebasics  
📱 Twitter:   / codebasicshub  
🔗 Patreon: https://www.patreon.com/codebasics?fa...

DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.