### What is the difference between Supervised and Unsupervised Learning

The primary differences between supervised and unsupervised learning is the presence or absence of labeled data for training

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- Classification (46)
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Decision Tree is one of the predicting modeling techniques that can be used for both Regression and Classification problems.

Assigning data into categorical compartments (ex: cat/dog, apple/pear/banana, etc.) is Classification.

Predicting a continuous numerical value (ex: wage, selling price, etc.) is Regression.

Find out all the ways

that you can

- Machine Learning 101 (30)
- Statistics 101 (38)
- Supervised Learning (114)
- Regression (42)
- Classification (46)
- Logistic Regression (10)
- Support Vector Machine (10)
- Naive Bayes (4)
- Discriminant Analysis (5)
- Classification Evaluations (9)

- Classification & Regression Trees (CART) (23)

- Unsupervised Learning (55)
- Clustering (28)
- Distance Measures (9)
- Dimensionality Reduction (9)

- Deep Learning (23)
- Data Preparation (34)
- General (5)
- Standardization (6)
- Missing data (7)
- Textual Data (16)