Python Machine Learning Advanced
Build advanced, real-world machine learning applications by developing projects in NLP, recommendation systems, forecasting, image classification, and object detection.
Build advanced, real-world machine learning applications by developing projects in NLP, recommendation systems, forecasting, image classification, and object detection.
This hands-on course will equip you with the most in-demand machine learning and deep learning skills. You'll explore NLP (Natural Language Processing), Sentiment Analysis, SysRec (Recommendation System), PyTorch for CNN (Convolutional Neural Networks), Facebook Prophet, and the latest YOLO models (You Only Look Once), for Computer Vision. You will learn how to train models and build Flask apps that recommend your next purchase, teach machines to see–and even predict market prices. This course will level up your portfolio, launch your own AI projects, and jump-start your ML/AI engineering career.
As one of our smaller courses, tuition for this course is due in full before the start date. The best way to save on this course is to take it as part of a certificate program.
Learn the concepts and skills covered in this course or your tuition is on us. See details and terms & conditions.
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Experienced educators who are driven to help you succeed
Refresh the materials for free within one year
Attend this course in-person in NYC or Live Online via Zoom. Engage with expert instructors, ask questions, and get feedback on your exercises and projects.
Unlike other providers, these are not mass open-enrollment classes. At Noble Desktop, you’ll learn in small groups (typically 8-15 students) and receive personalized attention.
Get face-to-face interaction with an instructor and other students when you learn at our NYC campus. Courses are hands-on with a computer and software provided.
Get the same interactivity and access to the instructor as in-person students. There are no extra fees and we’ll work with you to ensure your remote setup is perfect.
Our instructors are veterans of their field and experienced educators, driven to help you succeed.
Program Director & Senior Instructor
Program Director & Senior Instructor
Instructor
Instructor
We want you to leverage the skills you’ll learn. In addition to 30 hours of hands-on, small group training, you’ll receive one 1-on-1 training session where you can:
Upon completion of this course, you’ll receive an official certificate testifying to your mastery of the curriculum. We’ll send you a link where you can download your certificate, share it online with your friends, post it to your professional network on LinkedIn, and view all your earned certificates. Congratulations on your achievement!
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We offer a single free retake of the class within a year.
You can also access recordings of each session in your student portal within one business day of the session’s end. Recordings are available for one month after the session.
Yes, this course is open to beginners. Students must be comfortable using a computer. No other prior knowledge is required.
This course does not qualify for payments plans or student financing. See our Payment Plan FAQ to find related programs that qualify.
You may attend this training virtually (online) at the scheduled time the course is offered (New York, Eastern Time).
You have some options:
There are no extra fees or taxes for our courses. The price you see on this page is the maximum you’ll pay us.
We don’t currently offer discounts as we do our best to affordably prices our courses.
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Master Python for data analysis, machine learning, and automation. Build predictive models, create dynamic dashboards, and unleash the power of data visualization. Launch your career in data science and Python engineering, equipped with Python, NumPy, Pandas, and Matplotlib.
Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.
Purchase group class vouchers at a discount for our regularly-scheduled group classes in NYC, or create a custom training program at your offices.
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Let us create the perfect program for your team.
The first installment is due one week before the first class. Subsequent installments are spread out evenly across the duration of the course.
Installments | |
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10% non-refundable deposit | |
$1,895.00 | Total You Pay |
See the Installment plan FAQ for more information.
Program Director & Senior Instructor
Art Yudin is a FinTech enthusiast who has a great passion for coding and teaching. Art is the founder and CEO of Practical Programming (a Noble Desktop partner company), a leading training company for aspiring developers and data scientists. Currently, Art develops financial services software and leads classes and workshops at Practical Programming in New York and Chicago.
He is the author of several coding publications including "Building Versatile Mobile Apps with Python and REST with React and Django."
Program Director & Senior Instructor
Brian McClain is a seasoned web developer, instructor, and curriculum developer with expertise in web development, JavaScript, Python for Data Science, Machine Learning, and AI. He joined Noble Desktop in 2022, where he serves as a lead instructor and course developer for HTML & CSS, JavaScript, Python, and Excel. Brian previously served as Director for a New York-based coding bootcamp and taught Python Data Science and Machine Learning as an Adjunct Professor of Computer Science at Westchester County College. He also develops generative AI applications, including Artmink, an iOS and web app for art and antique appraisals.
Learn more about Brian McClain's background and expertise.
Instructor
Colin Jaffe is a programmer, writer, and teacher with a passion for creative code, customizable computing environments, and simple puns. He loves teaching code, from the fundamentals of algorithmic thinking to the business logic and user flow of application building—he particularly enjoys teaching JavaScript, Python, API design, and front-end frameworks.
Colin has taught code to a diverse group of students since learning to code himself, including young men of color at All-Star Code, elementary school kids at The Coding Space, and marginalized groups at Pursuit.
Colin lives in Brooklyn with his wife, two kids, and many intricate board games.
Instructor
Kash specialties in full-stack web development, data analysis & visualization, machine learning, artificial intelligence, and applied computer science. With over 6 years of teaching, curriculum, and leadership experience across coding boot camps and other educational institutions, combined with over 3 years of professional software engineering and data science expertise, he's driven to help shape the next generation of technologists and creative coders.