What is Machine Learning ?

Making software learn.

• Categorical Data/ Qualitative information - In forms of strings
• Continues Data - In form of numbers
• Model - The function that take all parameters & predicts the label

Types of machine learning

Supervised Machine Learning

• You have data - continues & categorical. And, labels
• Model here uses the data & label information to learn & then predict labels for unlabelled data.
• The data that is available with labels is called training data
• The data that is not avilable with labels is called testing data.
• Two types of supervised machine learning - regression & classification

Regression

The labels of the data which are continues in nature falls in this category. Like House price prediction

Classification

The labels of the data is categorical in nature falls in this category. Cancer detection.

Unsupervised Machine Learning

• Label information is not available here
• There is no training step involved here unlike supervised ml.
• Two types of - clustering & dimensionality reduction.

Clustering

• Identifies groups or patter in data. Divide students into groups

Dimensionality Reduction

• Identify the minimal features that can reprsent the dependencies of house price. Tenent info may not matter in house price prediction