Gradient Descent for Machine Learning class is part of Machine Learning Career Track at Code Heroku. Get started in our ML Career Track for Free: http://www.codeheroku.com/ml
In this tutorial, we cover important concepts in #machinelearning such as cost function, gradient descent, learning rate and mean squared error. After going over math behind these concepts, we will write python code to #implement gradient descent for linear regression in python. At the end we have an exercise for you to practice gradient descent
Jupyter Notebook & Data set download
https://github.com/codeheroku/Introdu...
In this live class we discuss:
1 What is#gradientdescent
2. Derivation for Gradient Descent
2. Python Code For Gradient Descent from scratch
3. Gradient Descent Optimization for Linear Regression
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