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Day 37 of #100DaysOfCode

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

Task

  1. Supervised vs Unsupervised learning
  2. Regression model (not started)

Resources

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

Topics I have learnt

  1. Supervised learning
  2. Unsupervised learning
  3. Regression
  4. Classification
  5. Clustering
  6. Practice quiz on Supervised vs Unsupervised learning

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 have learned about Supervised and Unsupervised learning in ML. Also, definition of Regression, Classification and clustering. And I have made a repository having all my notes and codes of Machine Learning specialization course.