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.
Linear Regression | Machine Learning Beginners
Linear Regression Implementation using Gradient Descent Method in Python. To predict the house price based on area of the house.
Simple Linear Regression | Machine Learning Beginners
Regression analysis is estimating the relationships between a dependent variable and one or more independent variables.
Reinforcement Learning | Machine Learning Beginners
Reinforcement learning is concerned with how software is have to take actions in order to maximize the notion of cumulative reward.
Semi-Supervised Learning | Machine Learning Beginners
Semi-supervised learning is an approach to machine learning that combines labeled data with large amount of unlabeled data during training.
Unsupervised Learning | Machine Learning Beginners
The goal of unsupervised learning is that discover the group of similar behavior or characteristics that is called Clustering
Supervised Learning | Machine Learning Beginners
supervised learning the machine learn from the example or we can say that the presentation of the example.
Introduction Of Machine Learning | Beginners
Machine Learning is system that can learn from example through self improvement without explicitly code by programmer.