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Supervised vs Unsupervised Learning

Supervised vs Unsupervised Learning

tejasri

tejasri

5mo471Machine Learning

Algorithms:

Linear Regression
Logistic Regression
Decision Trees
Random Forest
Gradient Boosting

3 Replies

Know the answer? Post it — somebody with the same question will find it here.

camdenriley2mo ago
I found the differences between supervised and unsupervised learning really intriguing! How do you think choosing one over the other impacts real-world applications? Also, have any of you tried using tools from speed stars for your projects?
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Tuhin Paul

Tuhin Paul5mo ago

Algorithm	Type	Complexity	Key Strength
Linear Regression	Regression	Low	Extremely fast and interpretable.
Logistic Regression	Classification	Low	Great baseline for binary problems.
Decision Tree	Both	Medium	Mirror human decision-making.
Random Forest	Both	High	Robust; handles missing data well.
Gradient Boosting	Both	Very High	State-of-the-art predictive accuracy.

+1

Priya Prajapati5mo ago
If you are learning a new topic in machine learning, this will help you better understand key concepts. I hope it also helps you to explore your knowledge in this field.
- Linear Regression: https://www.youtube.com/watch?v=MkLBNUMc26Y
- Logistic Regression : https://www.youtube.com/watch?v=CuvIc8C3EDI
- Decision Trees : https://www.geeksforgeeks.org/machine-learning/decision-tree-introduction-example/
- Random Forest : https://www.geeksforgeeks.org/machine-learning/random-forest-algorithm-in-machine-learning/
- Gradient Boosting : https://www.tutorialspoint.com/machine_learning/machine_learning_gradient_boosting.htm
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