Python Machine Learning Bootcamp
Master machine learning to create algorithms that can independently learn patterns and make decisions in this hands-on bootcamp.
Master machine learning to create algorithms that can independently learn patterns and make decisions in this hands-on bootcamp.
This skillset is in high demand, as machine learning algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.
This course will begin with linear and logistic regression, the most time-tested and reliable tools for approaching a machine learning problem. The course will then progress to algorithms with a very different theoretical basis, such as k-nearest neighbors, decision trees, and random forest. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. You’ll also learn how to measure the accuracy of your models, as well as tips for choosing effective features and algorithms.
The course will be focused on the practical skills needed to solve real-world problems with machine learning. The mathematical foundations for each machine learning algorithm will be explained visually, but there will not be a formal math component. Entering students are expected to be comfortable with writing Python programs, as well as the Numpy and Pandas libraries.
This course does require students to be comfortable with Python and its data science libraries (NumPy and Pandas). If a student has not worked in Python before, we require a student to enroll in our Python for Data Science Bootcamp before taking this course.
This course requires students to be comfortable with Python and its data science libraries (NumPy and Pandas). If a student has not worked in Python before, we require a student to enroll in our Python for Data Science Bootcamp before taking this course.
From our hands-on training style to world-class instructors and custom-crafted curriculum, we deliver results our alumni are proud of.
Python Machine Learning Bootcamp is rated 4.7 stars
in the past 24 months
It was great to see my progress during the duration of this bootcamp. I started with no prior knowledge of Python and by the end of the course, I was able to complete a machine learning project using Python.
Niekel Griffith
This course is a MUST HAVE and the instructor is GREAT. I recommend taking this course after the Python for Data Science Bootcamp if you never dealt with Python before, or without it if you need a project for your portfolio on GitHub. Both courses were taught by the same great instructor, Art Yudin. Art explains everything very clearly and helps everyone. Right after the course, I got an invitation to interview as a data science intern, and the first thing they asked was to see my projects on GitHub. So I downloaded my final project from this course, and they liked it. They gave me a new one to do, and I found it easy after this course!!!
Lidiia Nikolaeva
Really great way to jump into a complicated topic.
Nolan Young
I highly recommend this class to anyone that is looking for an intro to machine learning.
Marcelo Zampietro
Rob is extremely knowledgeable and made learning a complicated subject matter more accessible
Jason Alter
Tapestry Inc.
EXCELLENT! I was surprised by just how 'inspiring' Patrick turned out to be. He made the material interesting and provided a model of how to establish a good mind-frame necessary to mastery. I loved it. Felt like I got personal direction as well as technical skill.
Sean Kerr
Very useful instructors and good content. Would recommend the Python Machine Learning Bootcamp.
Roberta Caselli
Excellent. Art fine-tunes his teaching style to our level of understanding. Efficient, patient, current examples of data topics, overall great for me as a beginner - never coded at all prior!
Michelle Moreno
Art is a very helpful and patient instructor. I'm amazed at what I can build now.
Daniel Laserna
Art transfers his knowledge very successfully. The Python Machine Learning Bootcamp included a lot of examples, practice, and possibilities for learning.
Nikola Janjic
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.
There are no extra fees or taxes for our courses. The price you see on this page is the maximum you’ll pay us.
However, if you plan to take the course live online, you may need to obtain required software. We’ll help you get set up with a free trial of paid software prior to the class. Most of our coding classes utilize freely-available open-source software. For most of our design and motion graphics courses, we will help you get set up with a free trial of Adobe Creative Cloud. If you attend the course in-person, we will have a computer already set up for you with all of the required software for no additional cost.
We don’t currently offer discounts as we do our best to affordably prices our courses.
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. Switch between live-online and in-person as needed, even after the course has started.
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 verterans of their field and experienced educators, driven to help you succeed.
Program Director & Senior Instructor
Program Director & Senior Instructor
School Director, Instructor, & Senior Course Developer
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 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.
This class is an 18-hour class that starts by teaching forms of regression analysis and moves onto more industry-used algorithms such as k-nearest neighbors, decision trees, and random forest. Additionally, students will learn how to determine the accuracy of a predictive model.
Noble's typical class ranges from 8-12 students, but we allow up to 20 students to register for our course.
The classes will allow students to learn advanced topics in data science used by the most cutting edge companies such as Google, Facebook, and more. These topics will allow students to build, evaluate, and reassess forecasting models on all forms of data.
Students are not required to complete any work outside of class. However, we provide students with bonus materials if they would like extra practice.
Students will leave with the ability to learn how to build a model from start to finish. Students will learn how to clean and balance data, apply a form of learning algorithm on the data, perform a bias test, and finally evaluate the accuracy of your model.
This course requires students to be comfortable with Python and its data science libraries (NumPy and Pandas). If a student has not worked in Python before, we require a student to enroll in our Python for Data Science Bootcamp before taking this course.
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:
Select up to two courses and tap Compare selected courses to view a side-by-side comparison of Python Machine Learning Bootcamp with your selected courses.
Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.
Master the tools to become a Data Scientist: Python, SQL, automation, and machine learning. Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib, and query databases with SQL. Use machine learning to apply regressions and other statistical analysis to create predictive models.
Learn to extract info from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You’ll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL
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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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 is an experienced instructor, curriculum developer, and professional web developer, who in recent years has served as Director for a coding bootcamp in New York. Brian joined Noble Desktop in 2022 and is a lead instructor for HTML & CSS, JavaScript, Python for Data Science, and Excel. Prior to that, he taught Python Data Science and Machine Learning as an Adjunct Professor of Computer Science at Westchester County College.School Director, Instructor, & Senior Course Developer
Dan Rodney has been a designer and web developer for over 20 years. He creates coursework for Noble Desktop and teaches classes. In his spare time Dan also writes scripts for InDesign (Make Book Jacket, Proper Fraction Pro, and more). Dan teaches just about anything web, video, or print related: HTML, CSS, JavaScript, Figma, Adobe XD, Sketch, After Effects, Premiere Pro, Photoshop, Illustrator, InDesign, and more. You can find Dan on Twitter, LinkedIn, Facebook, and at danrodney.com.