## Multiple Linear Regression | Machine Learning Beginners

Multiple linear regression is a model that finds the relationship between a dependent variable and two or more independent variables.

Multiple linear regression is a model that finds the relationship between a dependent variable and two or more independent variables.

Linear Regression Implementation using Gradient Descent Method in Python. To predict the house price based on area of the house.

Regression analysis is estimating the relationships between a dependent variable and one or more independent variables.

Reinforcement learning is concerned with how software is have to take actions in order to maximize the notion of cumulative reward.

Semi-supervised learning is an approach to machine learning that combines labeled data with large amount of unlabeled data during training.

The goal of unsupervised learning is that discover the group of similar behavior or characteristics that is called Clustering

supervised learning the machine learn from the example or we can say that the presentation of the example.

Machine Learning is system that can learn from example through self improvement without explicitly code by programmer.