Artificial Neural Networks: Difference between revisions
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==='''Regression Algorithms'''=== | ==='''Regression Algorithms'''=== | ||
Regression algorithms are forms of analysis which create predictive modeling techniques within Supervised and Semi-Supervised Learning. The relationship between the dependent variable (target) and independent variable (predictor) | |||
Although there are many forms of regression algorithms,the two main types of regression techniques used within Machine Learning: | |||
*'''Logistic Regression''' | *'''Logistic Regression''' | ||
*''' Linear Regression''' | *''' Linear Regression''' | ||
===='''Logistic Regression'''==== | ===='''Logistic Regression'''==== | ||
===='''Linear Regression'''==== | |||
==='''Random Forest Algorithms'''=== | ==='''Random Forest Algorithms'''=== | ||
