PART 2: Python Tips And Tricks

Описание: #python #machinelearning #data #datascience #dataanlysis #artificialintelligence
In this tutorial, we will some of the most useful Python tips and tricks that are really going to help you as you program in Python.
NB: This is part of the Python Course on Udemy: https://bit.ly/3bAw34r

Get A Solid Python Background For Your Career as a Data Scientist, Data Analysis, Machine Learning engineer, artificial intelligence specialist. Learn modern Python frameworks and libraries such as NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, ML,Web Scraping.

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According to StackOverFow report 2020, Python is the most preferred programming language by industry professionals. The report also emphasis that employers prefer Python programmers and are willing to pay them more than any other programming language professionals.

The Harvard Business Review also labelled Data Science and Data Analysis as the Sexiest job of the 21st Century. So imagine if you combine the two(i.e. Python + Data). In my experience at Microsoft working as a Data Scientist, I can testify how software developers, data scientist or data analyst who use Python, become more efficient than others who use other programming languages.

Python is also tagged as the most easiest programming language to learn.

Although, Python has all the attributes of what a good programming language is, if you don't get to learn it the right way, it can be difficult and boring just like the other programming languages.

In this course, you will learn Python from scratch, right from what is Python till you master the concepts as a professional Python Programmer.

You will gain industry level Python skills needed for Data Analysis, Data Science, Business Analysis, Web development or Machine learning.

This course aims to teach you from beginner level to Python Professional level. I have worked in several companies including Microsoft, Deloitte, and Synacor where I use Python to work on Data, so I know what it takes to be good in Python to land a decent job.

There are lots of exercises, assignments and projects to get you hands-on and comfortable in programming in Python.
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This course has been designed and structured inn the following way:

Get introduced to Python

Know the various versions of Python

Set up your coding environment to start coding

Learn Jupyter Notebook

Learn Anaconda

Start to get hands-on by coding in Python

Learn the various Operators in Python

Learn the various Flow Controls in Python

Learn how to handle and debug errors in Python

Learn Python Modules

Learn Python Packages and Libraries

Get to know

NumPy,

Pandas,

Seaborn,

Matplotlib,

Plotly,

Scikit-Learn, etc

Learn Modern Web Scraping Frameworks like

Selenium,

Scrapy,

Beautiful Soup,

Request,

Web drivers, etc

Build awesome Python Projects

Learn more Advanced Machine Learning concepts like

Linear Regression,

Logistic Regression,

KNN,

Naive Bayes,

Support Vector Machine, etc

Build awesome Machine Learning Projects

Learn Flask

Create Flask API's to deploy Machine Learning models live !!

Feel free to check the course curriculum to verify by yourself.

By the end of this course, you will be much confident in programming in Python like a professionals.

Go To Course on Udemy: https://bit.ly/3bAw34r