Today, We will get the information about machine learning with Python which is a really interesting topic. Machine Learning is an advanced process.

Machine Learning is divided into three modules:

1.Supervised Learning It includes both dependent and independent variables. It is also called as Pattern Recognition. Example: Face and Character recognition. 2.Unsupervised Learning 3.Reinforcement Learning It has no output variable. It has only an input variable and has no target. It is based on a response. It is used in gaming applications. Example: Google search

An algorithm in Supervised Learning:

1.Regression algorithm It is used to find the causal effect relationship. It is used to classify the records. 2.Classification algorithm

3.Decisio n Trees It uses Basket analysis. It is used to find the best solution to the problem in a diagrammatic way.



The algorithm in Unsupervised Learning:

1.Clustering It is used for market segmentation.

2.Association Learning String Example: The recommendations we get in applications like Flip cart, Amazon uses machine learning.

Machine Learning is used in various fields namely:

Bio Informatics Web mining Retail Telecommunications Medicine Finance Manufacturing

Python Data Structures:

Dictionary: It is used for Indexing purposes declared in { }. It has the key: value pairs. Each pair is separated by a comma. Dictionary is mutable. It stores characters enclosed by “ ”. Tuple It is used to store multiple values, enclosed by ( ) and separated by a comma. Tuples are immutable which means the data can’t be updated once stored. List:

It has a maximum of 64*64 matrix limit in the array. The list is also used to store multiple values. The list is also mutable and enclosed by [ ]. Set: It is used to store a set of values without duplicates. The set is mutable and enclosed by { }.

Packages in Python:

1) Numpy (Numerical Python) 2) Pandas It is used to store a large volume of data. It stores data in the form of data frames. 3) Matplotlib It is used for data visualization. It is a pictorial way of representation. 4) Scipy (Scientific Python) It is used for statistical analysis. 5) Sklearn (Scikit ) It is used in a machine learning algorithm.

Why Python?