What you have to learn in Python to be a master in Machine Learning and Artificial Intelligence

Hey guys! 

Welcome to the blog learnmachinelearningai.blogspot.com. Today we will discuss what topics of python you should learn to be a master. So don't waste your time by fearing to learn all the python guys, Trust me only a part of python is allocated for pure machine learning, not the entire python course (complete python alone will take a couple of months). So without wasting the time here also let's go to the topic..........

The top 5 sub-topics of python that are very much useful for a machine learning programmer. Here you go...

1) Python Functions :

A function is a block of code which only runs when it is called. You can pass data, known as parameters, into a function and the function will return data as a result. You will have a complete control over the passing input data and be getting output result data.

There are two types of functions User Defined functions and Default functions. You can get the complete tutorial in this website soon...

What a function will look like?

def function_name():
        print("First function") 

You must call the function to execute the functionality of the function.

function_name()

If you are an absolute beginner you must know some basics about the syntax and small other stuff of python.

2) Numpy:

NumPy is the fundamental package for scientific computing with Python. It contains among other things:

• a powerful N-dimensional array object

• Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
• It is mainly used for mathematics purpose in maths the most important topic vector, array and matrices are largely used in machine learning.
• By using this packets the computations are much easier.

3) Pandas:

Pandas is an open sourced license library of python, which is largely used to handle data structures and data analytics very easily using python pandas. Python with Pandas is used in a wide range of fields including academic and commercial domains including finance, economics, Statistics, analytics, etc. In this tutorial, we will learn the various features of Python Pandas and how to use them in practice.

4) Data Structures:

Here data structures include Dictionaries, lists, tuples, and sets. So you must learn these topics because these are the largest used fundamental programming in python for machine learning. You will learn about these topics by using the freely available online sources, I will try to provide all the useful links and sources soon.

5) MatPlotLib

Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits. 

Example 2D graphs:

source:matplotlib.org

So guys , these are the main topics of python one must learn to become a machine learning programmer. Hope you guys liked it....keep following the blog like this,  we will have a great stuff in the future posts.

Thank You!