Python NumPy Tutorial | Scientific Python | Machine Learning For Beginners | ML Full course [Part 2]

Python Numpy tutorial explains what exactly is Numpy and how it is better than Lists and other Python Arrays. It also explains complete Numpy operations with examples.

This tutorial helps you to learn following topics:
1. What is Numpy?
2. Numpy v/s Lists and arrays
3. Numpy Operations
4. Numpy Special Functions
5. Standard deviations

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About the Course
Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. We help you achieve the following:

1. Master the Basic and Advanced Concepts of Python
2. Master Object oriented programming in Python.
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of Statistics.
8. Learn to write Complex Artificial intelligence programs
9. Understand what is Pandas and Matplotlib and visualizations .
10. Master the concepts of Web scraping in Python
11. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience

Why learn Python?
All Students and professionals love Python because of how fast and easy it is to use. Python saves our time with its simple to read syntax and easy compilation feature. Debugging your programs is a fun in Python with its built in debugger. Using Python makes Programmers more realistic, productive hence making their programs and programming more better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.

For more information, call us at IND: 9596596969/ 9419441234.