Python Numpy: Machine Learning & Data Science Course
- Description
- Curriculum
- FAQ
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Hello there,
Welcome to Python Numpy: Machine Learning & Data Science Course
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Are you ready for the Data Science career?
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Do you want to learn the Python Numpy from Scratch? or
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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;
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How to use Anaconda and Jupyter notebook,
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Fundamentals of Python
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Datatypes in Python,
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Lots of datatype operators, methods and how to use them,
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Conditional concept, if statements
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The logic of Loops and control statements
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Functions and how to use them
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How to use modules and create your own modules
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Data science and Data literacy concepts
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Fundamentals of Numpy for Data manipulation such as
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Numpy arrays and their features
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Numpy functions
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Numexpr module
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How to do indexing and slicing on Arrays
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Linear Algebra
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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:
· Lifetime Access to The Course
· Fast & Friendly Support in the Q&A section
· Udemy Certificate of Completion Ready for Download
Dive in now Machine Learning with NumPy and Python Data Science course
We offer full support, answering any questions.
See you in the course!
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Installing Anaconda for WindowsIn this video we try to learn how to download and install the Anaconda Distrubition on Mac.
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Installing Anaconda for Mac
In this video we try to learn how to download and install the Anaconda Distrubition on Windows.
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Let's Meet Jupyter Notebook for Windows
In this video we try to learn how to use Jupyter Notebook on Mac.
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Basics of Jupyter Notebook for Mac
In this video we try to learn how to use Jupyter Notebook on Windows.
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Data Types in Python
In this lesson, we try to learn what are data types in Python, why we need to use It.
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Operators in Python
In this lesson, we try to learn operators in Python.
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Conditionals
In this lesson, we try to learn conditional statements concept in Python and why we need to use it.
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Loops
In this lesson, we try to learn loops concept and why we need to use it.
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Lists, Tuples, Dictionaries and Sets
In this lesson, we try to learn Lists, Tuples, Dictionaries and Sets data types in Python. And also we will tak about the main differences between them
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Data Type Operators and Methods
In this lesson, we try to learn sequence operators and methhods in Python and how to use it.
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Modules in Python
In this lesson, we try to learn what is module concept and why we need to use it.
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Functions in Python
In this lesson, we try to learn function concept and why we need to use it.
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Exercise Analyse
In this video, we try to do an exercise about python fundamentals and we analyse this exercise.
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Exercise Solution
In this video, we try to do exercise with you.
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Logic of OOP
In this lesson, we try to learn OOP concept in Python and why we need to use it.
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Constructor
In this lesson, we try to learn what is the constructors in OOP and why we need to use them. Also we try to learn how to use them.
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Methods
In this lesson, we try to learn some useful Methods in OOP and how to use them.
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Inheritance
In this lesson, we try to learn what is inheritance concept in OOP and why we need to use it. Also we try to learn how to use it.
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Overriding and Overloading
In this lesson, we try to learn what are overriding and overloading terms in OOP and what they do. Also we try to learn how to use them.
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What is Numpy?
In this lesson, we try to numpy library and how to install it.
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Why Numpy?
In this lesson, we try to learn why we need Numpy Library
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Array and Features
In this lesson, we try to learn Numpy Array and its features.
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Array’s Operators
In this lesson, we try to learn Array operators and how to use them.
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Numpy Functions
In this lesson, we try to learn some useful Numpy functions
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Indexing and Slicing
In this lesson, we try to learn indexing and slicing in Numpy Array
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Numpy Exercises
In this video, we try to make some different numpy exercise and we try to use our knowledge.
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Using Numpy in Linear Algebra
In this lesson, we try to learn how can we use Numpy for Linear Algebra
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NumExpr Guide
In this lesson, we try to learn NumExpr and its advantages
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Using Numpy with Creating Neural Network
In this lesson, we try to learn the Math behind the Neural Network
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