Machine Learning Tutorial Python - 4: Gradient Descent and Cost Function

In this tutorial, we are covering few important concepts in machine learning such as cost function, gradient descent, learning rate and mean squared error. We will use home price prediction use case to understand gradient descent. After going over math behind these concepts, we will write python code to implement gradient descent for linear regression in python. At the end I’ve an an exercise for you to practice gradient descent

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Code: https://github.com/codebasics/py/blob/master/ML/3_gradient_descent/gradient_descent.py
Exercise csv file: https://github.com/codebasics/py/blob/master/ML/3_gradient_descent/Exercise/test_scores.csv

Topics that are covered in this Video:
0:00 Overview
1:23 - What is prediction function? How can we calculate it?
4:00 - Mean squared error (ending time)
4:57 - Gradient descent algorithm and how it works?
11:00 - What is derivative?
12:30 - What is partial derivative?
16:07 - Use of python code to implement gradient descent
27:05 - Exercise is to come up with a linear function for given test results using gradient descent

Topic Highlights:
1) Theory (We will talk about MSE, cost function, global minima)
2) Coding - (Plain python code that finds out a linear equation for given sample data points using gradient descent)
3) Exercise - (Exercise is to come up with a linear function for given test results using gradient descent)

Next Video:
Machine Learning Tutorial Python - 5: Save Model Using Joblib And Pickle: https://www.youtube.com/watch?v=KfnhNlD8WZI&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=5

Very Simple Explanation Of Neural Network: https://www.youtube.com/watch?v=ER2It2mIagI

Populor Playlist:
Data Science Full Course: https://www.youtube.com/playlist?list=PLeo1K3hjS3us_ELKYSj_Fth2tIEkdKXvV

Data Science Project: https://www.youtube.com/watch?v=rdfbcdP75KI&list=PLeo1K3hjS3uu7clOTtwsp94PcHbzqpAdg

Machine learning tutorials: https://www.youtube.com/watch?v=gmvvaobm7eQ&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw

Pandas: https://www.youtube.com/watch?v=CmorAWRsCAw&list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy

matplotlib: https://www.youtube.com/watch?v=qqwf4Vuj8oM&list=PLeo1K3hjS3uu4Lr8_kro2AqaO6CFYgKOl

Python: https://www.youtube.com/watch?v=eykoKxsYtow&list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0&index=1

Jupyter Notebook: https://www.youtube.com/watch?v=q_BzsPxwLOE&list=PLeo1K3hjS3uuZPwzACannnFSn9qHn8to8


To download csv and code for all tutorials: go to https://github.com/codebasics/py, click on a green button to clone or download the entire repository and then go to relevant folder to get access to that specific file.

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