## What is Supervised learning algorithms ?

Ans. Machine learning algorithms that learn from input/output pairs

## Some examples of supervised machine learning ?

- Detecting fraudulent activity in credit card transactions
- Identifying the zip code from handwritten digits on an envelope
- Spam filtering

## What is Labelled data in supervised machine learning ?

The input data which is already tagged with correct out is known as lebelled data.

## Is it true training data provided work as supervisor for machine ?

Yes

## What is the work of supervisor (training data) here ?

Supervisor support the machine to predict the output correctly.

## Types of supervised machine learning ?

- Regression
- Classification

## What is regression in machine learning ?

Regression is a technique for investigating the relationship between independent variables and a dependent variable.

## When to use Regression algorithm ?

When there is a relation between input and output variable.

## When to use Classification algorithm ?

When the output variable is categorical.

## Some examples of regression algorithm ?

- Linear Regression
- Regression Trees
- Non-Linear Regression
- Bayesian Linear Regression
- Polynomial Regression

## What is Linear regression ?

Linear Regression is the supervised Machine Learning model in which the model finds the best fit linear line between the independent and dependent variable.

## What is dependent and independent variables in machine learning ?

Independent variables are the input for a process that is being analyzes.

Dependent variables are the output of the process.

## Mathematical equation for linear regression ?

`Y= aX+b `

Y = dependent variables

X= Independent variables

a and b are the linear coefficients.

## What is Unsupervised learning algorithms ?

In unsupervised learning, only the input data is known, and no known output data is given to the algorithm

- Identifying topics in a set of blog posts
- Detecting abnormal access patterns to a website

## What is scikit-learn ?

- scikit-learn is an open source project.
- scikit-learn is Python library for Machine learning.
- For more visit: User guide

## What is Training Data and Testing Data ?

Training data is the initial dataset you use to teach a machine learning application.

Testing data is used to evaluate applications accuracy.

## What is Jupyter Notebook ?

Jupyter Notebook is an open-source web application that allows a user, scientific researcher, scholar or analyst to create and share the document called the Notebook, containing live codes, documentation, graphs, plots, and visualizations.

## What is NumPy ?

Numpy is one of the most commonly used packages for scientific computing in Python. It provides a multidimensional array object, as well as variations such as masks and matrices, which can be used for various math operations.

## What is SciPy ?

SciPy is a collection of mathematical algorithms and convenience functions built on the NumPy extension of Python.

## What is Mapplotlib ?

Matplotlib is a cross-platform, data visualization and graphical plotting library for Python and its numerical extension NumPy.

## What is Pandas ?

Pandas is an open source Python package that is most widely used for data science/data analysis and machine learning tasks. It is built on top of another package named Numpy, which provides support for multi-dimensional arrays.