Bias Variance Trade-off Explained | Machine Learning

Bias is the simplifying assumptions made by the model to make the target function easier to approximate. Variance is the amount that the estimate of the target function will change given different training data. Trade-off is tension between the error introduced by the bias and the variance. Get started in our ML Career Track for Free: http://www.codeheroku.com/ml Download Jupyter Notebook and Data Set here: https://drive.google.com/drive/folder... In this live class we go over: 0:00:00 Introduction and Overview 0:01:24 What is Bias and Variance 0:04:39 Why is there a trade off between Bias and Variance 0:06:17 K Nearest Neighbors Algorithm 0:09:15 Explain the concept of bias-variance tradeoff using Pima Indians Diabetes Dataset #biasvariance #machinelearning #datascience #diabetesedataset Follow us on: Instagram:   / codeheroku   Twitter:   / codeheroku   LinkedIn:   / mihirthakkar01   Email: hello@codeheroku.com WhatsApp: +91-9967578720