The Complete Machine Learning Course: From Zero to Expert!
What you'll learn
- Master Machine Learning in Python
- Become a confident, modern, and advanced Machine Learning engineer from scratch
- Become job-ready by understanding how Machine Learning really works behind the scenes
- Develop full Machine Learning pipelines for real datasets, from data cleaning to evaluation
- How to think and work like a Machine Learning engineer: problem-solving, researching, workflows
- Get fast and friendly support in the Q&A area
- Master all Machine Learning python libraries: numpy, scipy, pandas, scikit-learn, matplotlib, seaborn, imblearn, notebook...
- Learn how neural networks work and implement them using frameworks like TensorFlow or PyTorch
- Practice your skills with 100+ challenges and assignments (solutions included)
Requirements
- No Machine Learning experience is necessary to take this course! I take you from beginner to expert!
- 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 Machine Learning course online.
Whether you want to:
- build the skills you need to get your first machine learning job
- move to a more senior software developer position
- become a computer scientist mastering in machine learning
- or just learn Machine Learning to be able to create your own projects quickly.
...this complete Machine Learning Masterclass is the course you need to do all of this, and more.
This course is designed to give you the machine learning skills you need to become a machine learning expert. By the end of the course, you will understand the machine learning method extremely well and be able to apply it in your own machine learning 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Like you, thousands of others were frustrated and fed up with fragmented Youtube tutorials or incomplete or outdated courses which assume you already know a bunch of stuff, as well as thick, college-like textbooks able to send even the most caffeine-fuelled coder to sleep.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 Machine Learning course. It’s designed with simplicity and seamless progression in mind through its content.
This course assumes no previous machine learning experience and takes you from absolute beginner core concepts. You will learn the core machine learning skills and master machine learning. It's a one-stop shop to learn machine learning. If you want to go beyond the core content you can do so at any time.
Here’s just some of what you’ll learn
(It’s okay if you don’t understand all this yet. You will in the course)
Understand the core concepts of supervised, unsupervised, and reinforcement learning
Build predictive models using popular algorithms like linear regression, decision trees, and support vector machines
Master classification and clustering techniques, including KNN, Naive Bayes, and K-means
Dive into neural networks and deep learning using frameworks like TensorFlow or PyTorch
Perform feature engineering, data cleaning, and preprocessing with real datasets
Understand model evaluation metrics like accuracy, precision, recall, F1-score, and ROC-AUC
Learn how to reduce overfitting using regularization techniques like L1/L2, dropout, and cross-validation
Apply dimensionality reduction methods like PCA and t-SNE to optimize performance
Gain practical experience through hands-on projects across domains like finance, healthcare, and marketing
Become the kind of professional who can walk into a room, explain a machine learning model clearly, and design one from scratch with confidence
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.
There’s no risk either!
This course comes with a full 30-day money-back guarantee. Meaning if you are not completely satisfied with the course or your progress, simply let me know and I’ll refund you 100%, every last penny no questions asked.
You either end up with Machine Learning skills, go on to develop great programs and potentially make an awesome career for yourself, or you try the course and simply get all your money back if you don’t like it…
You literally can’t lose.
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 Machine Learning 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, Machine Learning is waiting!)
Who this course is for:
- Anyone interested in Machine Learning
- Any people who have been trying to learn Machine Learning but: 1) still don't really understand it, or 2) still don't feel confident to take a job interview
- Any college students who want to start a career in Machine Learning
- Any people who want to create added value to their business by using powerful Machine Learning tools.
- Anyone who wants to work as a Machine Learning Engineer in research, economics, finance, marketing, engineering, or healthcare sectors
Instructor
- 4.4 Instructor Rating
- 4,913 Reviews
- 66,645 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.