Support Vector Machines for Regression: Machine Learning
What you'll learn
- Master Support Vector Machines for Regression in Python
- Become an advanced, confident, and modern data scientist from scratch
- Become job-ready by understanding how Support Vector Machines really work behind the scenes
- Apply robust Data Science techniques for Support Vector Machines
- How to think and work like a data scientist: problem-solving, researching, workflows
- Get fast and friendly support in the Q&A area
Requirements
- No data science experience is necessary to take this course.
- Any computer and OS will work — Windows, macOS or Linux. We will set up your code environment in the course.
Description
You’ve just stumbled upon the most complete, in-depth Support Vector Machines 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 SVM to be able to create your own projects quickly.
...this complete Support Vector Machines for Regression Masterclass is the course you need to do all of this, and more.
This course is designed to give you the Support Vector Machine skills you need to become a data science expert. By the end of the course, you will understand the SVM method extremely well and be able to apply it 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Like you, thousands of others were frustrated and fed up with fragmented Youtube tutorials or incomplete or outdated courses which assume you already know a bunch of stuff, as well as thick, college-like textbooks able to send even the most caffeine-fuelled coder to sleep.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 Support Vector Machines 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 SVM technique. It's a one-stop shop to learn SVM. 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 templates which you can download and use on your own projects.
Ready to get started, developer?
Enroll now using the “Add to Cart” button on the right, and get started on your way to creative, advanced SVM 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, Support Vector Machines are waiting!)
Who this course is for:
- Any people who want to start learning Support Vector Machines in Data Science
- Anyone interested in Machine Learning
- Anyone who want to understand how to apply Support Vector Machines in datasets using Python
Instructor
- 4.4 Instructor Rating
- 4,999 Reviews
- 67,099 Students
- 117 Courses
[ENGLISH]
Lucas is an expert in the fields of computer science and mathematics, driven by a lifelong passion for teaching. With over a decade of experience as a science and technology instructor, he has become a renowned specialist in subjects such as Algorithms, Discrete Mathematics, Artificial Intelligence, and Machine Learning, among others.
Currently researching at the prestigious Polytechnic University of Catalonia UPC in Barcelona, Lucas is committed to advancing his knowledge and expertise even further. Throughout his life, he has given multiple conferences at universities and organizations on groundbreaking topics in mathematics and computer science, inspiring and mentoring countless students along the way.
Lucas is dedicated to a mission of advancing humanity's knowledge of technology and science, using his expertise to develop solutions that benefit society as a whole. His work is driven by a deep desire to create innovative technology that truly serves the needs of humanity.
Overall, Lucas's exceptional qualifications, extensive experience, and unwavering dedication to his mission make him a highly respected figure in the world of STEM education and research. His impact on the field is sure to be felt for many years to come.
[SPANISH]
Lucas es un experto en ciencias de la computación y matemáticas, impulsado por una pasión por la enseñanza a lo largo de toda su vida. Con más de una década de experiencia como docente de ciencia y tecnología, se ha convertido en un reconocido especialista en temas como Algoritmos, Matemáticas Discretas, Inteligencia Artificial y Aprendizaje Automático, entre otros.
Actualmente investigando en la prestigiosa Universidad Politécnica de Cataluña UPC en Barcelona, Lucas está comprometido a avanzar aún más en su conocimiento y experiencia. A lo largo de su vida, ha impartido múltiples conferencias en universidades y organizaciones sobre temas innovadores en matemáticas y ciencias de la computación, inspirando y asesorando a innumerables estudiantes en el camino.
Lucas está dedicado a la misión de hacer avanzar el conocimiento de la humanidad sobre tecnología y ciencia, utilizando su experiencia para desarrollar soluciones que beneficien a la sociedad en su conjunto. Su trabajo está impulsado por un profundo deseo de crear tecnología innovadora que realmente sirva a las necesidades de la humanidad.
En general, las calificaciones excepcionales de Lucas, su amplia experiencia y su inquebrantable dedicación a su misión lo convierten en una figura muy respetada en el mundo de la educación STEM y la investigación. Su impacto en el campo se sentirá con toda certeza durante muchos años.