Day-40

Day 40 of #100DaysOfCode

I have created a repository having all my notes and codes of Machine learning specialization course. 🔗

Task

1. Cost function
2. Gradient Descent (not done)

Resources

• Machine Learning Specialization Course 🔗
• • Course 1: Supervised Machine Learning: Regression and Classification 🔗

Topics I have learnt

1. Cost function

• How cost function works
• How weights w and b effect linear regression model
• 2d/3d Contour plot (visualization of cost function)

Software used:

• Jupyter Notebook
• Python 3.10.2

My notebooks

• All of my notes of this course are in my ML speicalization notes repository. 🔗

Conclusion:

Today I completed Regression model part in week 1, and learned about cost function, and how weights w and b effect the linear regression function. Also learned about 3d contour plot, it's 🔥.