Python Numpy: Machine Learning & Data Science Course
Learn Numpy Python and get comfortable with Python Numpy in order to start into Data Science and Machine Learning.
Oak Academy
Summary
- Reed courses certificate of completion - Free
Add to basket or enquire
Overview
Hello there,
Welcome to Python Numpy: Machine Learning & Data Science Course
Python numpy, Numpy python, python numpy: machine learning & data science, python numpy, machine learning data science course, machine learning python, data science, python, oak academy, machine learning, python machine learning, python data science, numpy course, data science course
Learn Numpy and get comfortable with Python Numpy in order to start into Data Science and Machine Learning.
OAK Academy offers highly-rated data science courses that will help you learn how to visualize and respond to new data, as well as develop innovative new technologies.
Data science is everywhere. Better data science practices are allowing corporations to cut unnecessary costs, automate computing, and analyze markets. Essentially, data science is the key to getting ahead in a competitive global climate.
Python Numpy, Python instructors on OAK Academy specialize in everything from software development to data analysis, and are known for their effective, friendly instruction for students of all levels.
-
Are you ready for a 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 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
-
Numpy python
-
data science
-
Python Numpy
-
Python data science
-
python numpy: machine learning & data science
-
machine learning python
-
python
And we will do some 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
Dive in now Python Numpy: Machine Learning & Data Science Course
We offer full support, answering any questions.
See you in the course!
Course media
Description
Hello there,
Welcome to Python Numpy: Machine Learning & Data Science Course
Python numpy, Numpy python, python numpy: machine learning & data science, python numpy, machine learning data science course, machine learning python, data science, python, oak academy, machine learning, python machine learning, python data science, numpy course, data science course
Learn Numpy and get comfortable with Python Numpy in order to start into Data Science and Machine Learning.
OAK Academy offers highly-rated data science courses that will help you learn how to visualize and respond to new data, as well as develop innovative new technologies.
Data science is everywhere. Better data science practices are allowing corporations to cut unnecessary costs, automate computing, and analyze markets. Essentially, data science is the key to getting ahead in a competitive global climate.
Python Numpy, Python instructors on OAK Academy specialize in everything from software development to data analysis, and are known for their effective, friendly instruction for students of all levels.
-
Are you ready for a 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 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
-
Numpy python
-
data science
-
Python Numpy
-
Python data science
-
python numpy: machine learning & data science
-
machine learning python
-
python
And we will do some exercises. Finally, we will also do a neural network project with Numpy.
What is data science?
We have more data than ever before. But data alone cannot tell us much about the world around us. We need to interpret the information and discover hidden patterns. This is where data science comes in. Data science python uses algorithms to understand raw data. The main difference between data science and traditional data analysis is its focus on prediction. Python data science seeks to find patterns in data and use those patterns to predict future data. It draws on machine learning to process large amounts of data, discover patterns, and predict trends. Data science using python includes preparing, analyzing, and processing data. It draws from many scientific fields, and as a python for data science, it progresses by creating new algorithms to analyze data and validate current methods.
What is python?
Machine learning python is a general-purpose, object-oriented, high-level programming language. Whether you work in artificial intelligence or finance or are pursuing a career in web development or data science, Python bootcamp is one of the most important skills you can learn. Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed on the premise that there should be only one way (and preferably, one obvious way) to do things, a philosophy that resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing different tools for programmers suited for a variety of tasks.
What is machine learning?
Machine learning describes systems that make predictions using a model trained on real-world data. For example, let's say we want to build a system that can identify if a cat is in a picture. We first assemble many pictures to train our machine learning model. During this training phase, we feed pictures into the model, along with information around whether they contain a cat. While training, the model learns patterns in the images that are the most closely associated with cats. This model can then use the patterns learned during training to predict whether the new images that it's fed contain a cat. In this particular example, we might use a neural network to learn these patterns, but machine learning can be much simpler than that. Even fitting a line to a set of observed data points, and using that line to make new predictions, counts as a machine learning model.
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
Dive in now Python Numpy: Machine Learning & Data Science Course
We offer full support, answering any questions.
See you in the course!
Who is this course for?
- Anyone who wants to learn Numpy
- Anyone who want to use effectively linear algebra,
- Software developer whom want to learn the Neural Network’s math,
- Data scientist whom want to use effectively Numpy array
- Anyone interested in data sciences
- Anyone who plans a career in data scientist,
- Anyone eager to learn python with no coding background
- Anyone who is particularly interested in big data, machine learning
- Anyone eager to learn Python with no coding background
- Anyone who wants to learn Numpy
Requirements
- No prior knowledge of Numpy is required
- Free software and tools used during the course
- Basic computer knowledge
- Desire to learn Python and Numpy library
- Nothing else! It’s just you, your computer and your ambition to get started today
- Desire to learn data science
- Desire to learn Python
- Desire to work on machine learning
- Desire to learn python machine learning a-z
Questions and answers
Currently there are no Q&As for this course. Be the first to ask a question.
Certificates
Reed courses certificate of completion
Digital certificate - Included
Will be downloadable when all lectures have been completed
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