Python Numpy: Machine Learning & Data Science Course

Udemy Coupon - Python Numpy: Machine Learning & Data Science Course, Learn Numpy and get comfortable with Python Numpy in order to start into Data Science and Machine Learning.
• Highest Rated
• English [Auto]

What you'll learn

• Fundamentals of Numpy Library and a little bit more
• Installation of Anaconda and how to use
• Using Jupyter notebook
• Learn Fundamentals of Python for effectively using Numpy Library
• Numpy arrays
• Numpy functions
• Linear Algebra
• Most importantly you will learn the Mathematics beyond the Neural Network
• Also, why you should learn Python and Numpy Library
• The most important aspect of Numpy arrays is that they are optimized for speed. We’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list.
• You will learn how to use the Python in Linear Algebra, and Neural Network concept, and use powerful machine learning algorithms

Description

Hello there,

Welcome to Python Numpy: Machine Learning & Data Science Course
Are you ready for the Data Science career?
Do you want to learn the Python Numpy from Scratch? or
Are you an experienced Data scientist and looking to improve your skills with Numpy!
In both cases, you are at the right place!  The number of companies and enterprises using Python is increasing day by day. The world we are in is experiencing the age of informatics. Python and its Numpy library will be the right choice for you to take part in this world and create your own opportunities,
Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. Moreover, Numpy forms the foundation of the Machine Learning stack.
NumPy aims to provide an array object that is up to 50x faster than traditional Python lists. The array object in NumPy is called ndarray , it provides a lot of supporting functions that make working with ndarray very easy. Arrays are very frequently used in data science, where speed and resources are very important.
In this course, we will open the door of the Data Science world and will move deeper. You will learn the fundamentals of Python and its beautiful library Numpy step by step with hands-on examples. Most importantly in Data Science, you should know how to use effectively the Numpy library. Because this library is limitless.
Throughout the course, we will teach you how to use the Python in Linear Algebra, and Neural Network concept, and use powerful machine learning algorithms and we will also do a variety of exercises to reinforce what we have learned in this Machine Learning with NumPy and  Python Data Science course.

In this course you will learn;
How to use Anaconda and Jupyter notebook,
Fundamentals of Python
Datatypes in Python,
Lots of datatype operators, methods and how to use them,
Conditional concept, if statements
The logic of Loops and control statements
Functions and how to use them
How to use modules and create your own modules
Data science and Data literacy concepts
Fundamentals of Numpy for Data manipulation such as
Numpy arrays and their features
Numpy functions
Numexpr module
How to do indexing and slicing on Arrays
Linear Algebra
Using numpy in Neural Network
And we will do many exercises. Finally, we will also do a neural network project with Numpy.
Why would you want to take this course?
We have prepared this course in the simplest way for beginners and have prepared many different exercises to help them understand better.
No prior knowledge is needed!
In this course, you need no previous knowledge about Python or Numpy.
This course will take you from a beginner to a more experienced level.
If you are new to data science or have no idea about what data science is, no problem, you will learn anything from scratch you need to start data science.
If you are a software developer or familiar with other programming languages and you want to start a new world, you are also in the right place. You will learn step by step with hands-on examples.
You'll also get:
· Fast & Friendly Support in the Q&A section