Neural Networks for Regression: Data Science in Python
Neural Networks for Regression: Data Science in Python, available at $19.99, has an average rating of 4.38, with 7 lectures, based on 4 reviews, and has 863 subscribers.
You will learn about Master Multilayer Perceptron Neural Networks in Python Become an advanced, confident, and modern data scientist from scratch Become job-ready by understanding how Neural Networks really work behind the scenes Apply robust Data Science techniques for Multilayer Perceptron Neural Networks How to think and work like a data scientist: problem-solving, researching, workflows Get fast and friendly support in the Q&A area This course is ideal for individuals who are Any people who want to start learning Neural Networks in Data Science or Anyone interested in Machine Learning or Anyone who want to understand how to use Multilayer Perceptron Neural Networks in datasets using Python It is particularly useful for Any people who want to start learning Neural Networks in Data Science or Anyone interested in Machine Learning or Anyone who want to understand how to use Multilayer Perceptron Neural Networks in datasets using Python.
Enroll now: Neural Networks for Regression: Data Science in Python
Summary
Title: Neural Networks for Regression: Data Science in Python
Price: $19.99
Average Rating: 4.38
Number of Lectures: 7
Number of Published Lectures: 7
Number of Curriculum Items: 7
Number of Published Curriculum Objects: 7
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Master Multilayer Perceptron Neural Networks in Python
- Become an advanced, confident, and modern data scientist from scratch
- Become job-ready by understanding how Neural Networks really work behind the scenes
- Apply robust Data Science techniques for Multilayer Perceptron Neural Networks
- How to think and work like a data scientist: problem-solving, researching, workflows
- Get fast and friendly support in the Q&A area
Who Should Attend
- Any people who want to start learning Neural Networks in Data Science
- Anyone interested in Machine Learning
- Anyone who want to understand how to use Multilayer Perceptron Neural Networks in datasets using Python
Target Audiences
- Any people who want to start learning Neural Networks in Data Science
- Anyone interested in Machine Learning
- Anyone who want to understand how to use Multilayer Perceptron Neural Networks in datasets using Python
You’ve just stumbled upon the most complete, in-depth Neural Networks for Regression course online.
Whether you want to:
– build the skills you need to get your first data science job
– move to a more senior software developer position
– become a computer scientist mastering in data science
– or just learn Neural Networks to be able to create your own projects quickly.
…this complete Neural Networks for Regression Masterclass is the course you need to do all of this, and more.
This course is designed to give you the Neural Network skills you need to become a data science expert. By the end of the course, you will understand the Multilayer Perceptron Neural Networks for Regression method extremely well and be able to apply them in your own data science projects and be productive as a computer scientist and developer.
What makes this course a bestseller?
Like you, thousands of others were frustrated and fed up with fragmented Youtube tutorials or incomplete or outdated courses which assume you already know a bunch of stuff, as well as thick, college-like textbooks able to send even the most caffeine-fuelled coder to sleep.
Like you, they were tired of low-quality lessons, poorly explained topics, and confusing info presented in the wrong way. That’s why so many find success in this complete Neural Networks for Regression course. It’s designed with simplicity and seamless progression in mind through its content.
This course assumes no previous data science experience and takes you from absolute beginner core concepts. You will learn the core dimensionality reduction skills and master the Multilayer Perceptron (MLP) technique. It’s a one-stop shop to learn Multilayer Networks. If you want to go beyond the core content you can do so at any time.
What if I have questions?
As if this course wasn’t complete enough, I offer full support, answering any questions you have.
This means you’ll never find yourself stuck on one lesson for days on end. With my hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.
Moreover, the course is packed with practical exercises that are based on real-life case studies. So not only will you learn the theory, but you will also get lots of hands-on practice building your own models.
And as a bonus, this course includes Python code templateswhich you can download and use on your own projects.
Ready to get started, developer?
Enroll nowusing the “Add to Cart” button on the right, and get started on your way to creative, advanced Multilayer Networks brilliance. Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.
See you on the inside (hurry, Neural Networks are waiting!)
Course Curriculum
Chapter 1: Code Environment Setup
Lecture 1: Google Colab for Programming in Python
Chapter 2: Course Introduction
Lecture 1: Introduction to Machine Learning
Lecture 2: Introduction to Neural Networks
Chapter 3: Multilayer Perceptron Neural Network – Data Science Project
Lecture 1: Introduction to the Dataset
Lecture 2: Partition of the Dataset – Target Variable
Lecture 3: Partition of the Dataset – Time Series Windows
Lecture 4: Multilayer Perceptron Neural Network
Instructors
-
Lucas Bazilio
Engineer and Mathematician
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 1 votes
- 5 stars: 2 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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