Machine Learning is the scientific process of developing an algorithm
that learns the pattern from training data and performs inferences on
test data, explains Rajkumar Lakshmanamoorthy, A geek in Machine Learning with a Master's degree in Engineering.
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| Photo: Analytics India Magazine |
If a machine learning process is meant to predict some output
value, it is called supervised learning. On the other hand, if there is
no output value prediction, it is called unsupervised learning.
Training data in supervised learning contains a set of features and a
target. The machine learning algorithm learns from the features to map
corresponding targets. Test data contains only features so that the
model should predict the targets. Features and targets are also called
independent variables and dependent variables, respectively. Training
data in unsupervised learning contains only features but not any target.
Rather than mapping features and targets as in supervised learning, an
unsupervised learning model performs clustering (grouping) the input data based on the patterns among them.
Supervised learning is classified into two categories:
- Regression
- Classification
Supervised learning is called regression if the dependent variable
(aka target) is continuous. Supervised learning is called classification
if the dependent variable is discrete. In other words, a regression
model outputs a numerical value (a real floating value), but a
classification model outputs a class (among two or more classes).
In this article, we discuss linear regression and its implementation
with python codes. Regression analysis can be specifically termed linear
regression if the dependent variable (target) has a linear relationship
with the independent variables (features)...
Wrapping Up
In this article, we have discussed machine learning, its
classification, and categorization of supervised learning based on the
nature of dependent variables. Further, we explored simple linear
regression and multiple linear regression with examples using the
SciKit-Learn library. We performed the same task with the statsmodels
library and obtained the same results.
Read more...
Source: Analytics India Magazine
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