Day-45

Day 45 of #100DaysOfCode

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

Task

1. Feature Scaling
2. Checking gradient descent for convergence (not done)

Resources

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

Topics I have learnt

1. Feature Scaling

• Max normalization
• Mean normalization
• Z-score normalization

My notebooks

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

Conclusion:

Today I learned what is Feature Scaling, and why to do it. Also some feature scaling methods like dividing by max, mean normalization, Standardisation.