Python Machine Learning Bootcamp
Learn machine learning fundamentals, including regression analysis and classification algorithms, using Python and data science libraries to solve practical problems.
Learn machine learning fundamentals, including regression analysis and classification algorithms, using Python and data science libraries to solve practical problems.
This course begins with linear and logistic regression, the most time-tested and reliable tools for approaching a machine learning problem. The course then progresses to algorithms with a very different theoretical basis, such as k-nearest neighbors, decision trees, and random forests. This brings important statistical concepts to the forefront, including bias, variance, and overfitting. You will also learn how to measure the accuracy of your models and gain practical tips for choosing effective features and algorithms.
These skills are in high demand, as machine learning algorithms now power the majority of trading on Wall Street and the product recommendation systems at major companies like Amazon, Spotify, and Netflix. This course focuses on the practical skills needed to solve real-world problems with machine learning. The mathematical foundations for each algorithm will be explained visually, but there is no formal mathematics component. Students are expected to be comfortable writing Python programs and using the NumPy and Pandas libraries.
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.
Learn online at your own pace with video training and live support from our instructors. If you purchase the self-paced option, you can attend the live course for free within one year.
Attend this course online as self-paced training with access to an instructor for questions. When you purchase the self-paced course, you may also attend the live course for free within one year.
From our hands-on training style to world-class instructors and custom-crafted curriculum, we deliver results our alumni are proud of.
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
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
Excellent coursework and professor. It helped me grasp the basics of machine learning quickly and effectively. The class was hands-on and helped me implement Python concepts and apply them to build machine learning models. It was a great learning experience!
Jayashree Subramanian
I recommend this course, this teacher, and this school to everyone wanting to learn machine learning. It was an amazing experience.
Federico Garay
I would highly recommend this bootcamp to anyone who ever wanted to really understand ML models.
Corey Cunningham
This was an amazing course overall and I absolutely loved it!
Elaheh(Ella) Mashali-Ferdows
This is a great class for anyone looking to sharpen their Python skills and get a clear intro to machine learning. It's easy to follow and well worth it!
Eduardo "Eddie" Hernandez
Nice teacher.
Jen P.
It was great having this course with Collin, who also taught us Python for DS. Collin's sense of humor and patience kept the class engaged in a very dense topic. Great work, Noble Desktop!
Donato V.
The instructor explains material well, will answer questions, and work with students experiencing any issues.
Frank P.
Noble Desktop and Brian McClain hit it out of the park again! Fasten your seatbelts and hold on, because this class is a rocket ship of learning. It brilliantly takes foundational Python and expands it naturally to show you how to develop working machine learning models. It is a lot of information for a 30-hour bootcamp, but the flow ensures understanding through carefully crafted exercises and real-world examples. A+
Jim Kerekgyarto
A great course. I gained an incredible amount of knowledge in only 5 days.
Dennis G.
This bootcamp was exactly what I needed to demystify machine learning. Brian’s teaching style, real-world examples, and signature ‘Brianisms’ kept me fully engaged all week. The pace was fast, the content was spot on, and I walked away wanting more.
Aaron Helgren
Outstanding class from Brian, once again. 5 stars.
Djakaridia K.
Super passionate, outstanding instructor. The format of using notebooks is great vs. PowerPoint and moving between PowerPoint and Visual Studio or Google Colab.
Marcin Iwanicki
Python Machine Learning Bootcamp is rated 4.7 stars by 105 students
Super passionate, outstanding instructor. The format of using notebooks is great vs. PowerPoint and moving between PowerPoint and Visual Studio or Google Colab.
Outstanding class from Brian, once again. 5 stars.
This bootcamp was exactly what I needed to demystify machine learning. Brian’s teaching style, real-world examples, and signature ‘Brianisms’ kept me fully engaged all week. The pace was fast, the content was spot on, and I walked away wanting more.
A great course. I gained an incredible amount of knowledge in only 5 days.
Noble Desktop and Brian McClain hit it out of the park again! Fasten your seatbelts and hold on, because this class is a rocket ship of learning. It brilliantly takes foundational Python and expands it naturally to show you how to develop working machine learning models. It is a lot of information for a 30-hour bootcamp, but the flow ensures understanding through carefully crafted exercises and real-world examples. A+
The instructor explains material well, will answer questions, and work with students experiencing any issues.
It was great having this course with Collin, who also taught us Python for DS. Collin's sense of humor and patience kept the class engaged in a very dense topic. Great work, Noble Desktop!
This is a great class for anyone looking to sharpen their Python skills and get a clear intro to machine learning. It's easy to follow and well worth it!
Nice teacher.
This was an amazing course overall and I absolutely loved it!
I would highly recommend this bootcamp to anyone who ever wanted to really understand ML models.
This class offers you the opportunity to refine your Python skills and introduces you to new ways to visualize and, more importantly, summarize data. The project you complete by the end of it will reflect the progress you've made learning Python.
I recommend this course, this teacher, and this school to everyone wanting to learn machine learning. It was an amazing experience.
Excellent coursework and professor. It helped me grasp the basics of machine learning quickly and effectively. The class was hands-on and helped me implement Python concepts and apply them to build machine learning models. It was a great learning experience!
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!!!
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.
Art transfers his knowledge very successfully. The Python Machine Learning Bootcamp included a lot of examples, practice, and possibilities for learning.
Art is a very helpful and patient instructor. I'm amazed at what I can build now.
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!
Very useful instructors and good content. Would recommend the Python Machine Learning Bootcamp.
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.
Rob is extremely knowledgeable and made learning a complicated subject matter more accessible
Really great way to jump into a complicated topic.
I highly recommend this class to anyone that is looking for an intro to machine learning.
Showing 24 of 24 reviews
Classes taught by leading photographers, designers, and artists who share real workflows and insights
Stream on-demand video lessons at your own pace. Rewatch anytime, on any device, whenever inspiration strikes
Shabang! I'm really enjoying the class. This course feels like a workshop with step by step demo on every piece of theory and with tons of details."
— Gerald B.
Downloadable guides & practice files crafted to support your creative journey
Connect with thousands of fellow learners and get inspired by creators from around the world
Attend this course live online or as self-paced training. 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 CreativeLive, you’ll learn in small groups (typically 8-15 students) and receive personalized attention.
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.
Learn at your own pace with pre-recorded video lessons and hands-on exercises. Work through the material on your schedule with access to course content and resources.
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!
Shareable on
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.
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.
These related courses share skills and topics with Python Machine Learning Bootcamp. Select up to two and tap Compare selected courses to view a side-by-side comparison.
Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.
Take the Python for Data Science Bootcamp first if you're new to Python or Pandas, since this Machine Learning Bootcamp requires comfort with Python's core data science libraries as a prerequisite.
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.
The Data Science & AI Certificate covers the machine learning material in this bootcamp, plus Python fundamentals, SQL, dashboarding with Dash Enterprise, and automation for a broader Data Scientist path.
Create, style, and enhance web apps with AI capabilities. In this advanced Python course, you'll develop a powerful sentiment analysis web application with Flask and the OpenAI API integration and learn how to take your coding projects to the next level with AI.
Choose Python for AI: Create AI Apps with Flask & OpenAI if you want to apply your Python skills to building AI-powered web applications instead of training regression and classification models.
Purchase group class vouchers at a discount for our regularly-scheduled group classes, or create a custom training program at your offices.
We’ve trained thousands of companies!
Let us create the perfect program for your team.
Effective Date: 3/17/26
These Terms of Service ("Terms") govern your access to and use of the services, website, courses, and content (collectively, the "Service") provided by CreativeLive, Inc. ("CreativeLive," "we," "us," or "our"). By using the Service, you agree to these Terms.
You must be at least 18 years old to use the Service.
You are responsible for maintaining the confidentiality of your account credentials and for all activity that occurs under your account. You must notify us immediately at support@creativelive.com if you believe your account has been compromised. We may suspend or terminate accounts at any time, for any reason, without liability.
3.1 Payments
All payments are processed through third-party providers. You agree to pay all applicable fees and taxes associated with your use of the Service.
3.2 Subscriptions
Subscriptions automatically renew unless cancelled before the renewal date. By subscribing, you authorize us to apply recurring charges to your payment method on file.
3.3 Subscription Content Limitations
A subscription provides access only to selected content available at any given time. We may, at any time and in our sole discretion:
• Determine which content is included in a subscription;
• Exclude, remove, or replace content without notice;
• Require separate purchases for certain content.
We do not guarantee the availability of any specific content. You agree that:
• You are not relying on any specific content being available;
• Content changes do not entitle you to refunds; and
• Any labeling or display of included content may not always be accurate or current.
3.4 Cancellation and Refund Policy
Please review the following guidelines carefully, as they govern all purchases made through the Service.
On-Demand Classes (A La Carte Purchase)
All on-demand class purchases are non-refundable. If you are unsatisfied with your purchase, you may exchange it for another class or classes of equal value within 7 days of your original purchase. Exchanges are limited to one per purchase.
Live Classes (A La Carte Purchase)
Students may cancel up to 14 days before the class or program start date and receive a refund, less a registration fee equal to 10% of the non-discounted course price. Cancellations within 14 days of the start date are not permitted. However, students may reschedule or receive class credit up to three business days before the class start date.
Subscriptions
Monthly subscription plans are non-refundable. Annual subscription plans may be refunded within 7 days of purchase, one time per customer. Subsequent annual subscription purchases by the same customer are non-refundable.
For any questions regarding exchanges or refunds, please contact our support team at support@creativelive.com.
3.5 Pricing Changes
We may change pricing at any time. Pricing changes apply to future billing periods.
We may, from time to time, offer promotions, discounts, or special offers. All promotions:
• Are offered at our sole discretion;
• May be modified, suspended, or terminated at any time; and
• Are subject to additional terms that may be provided separately.
To the maximum extent permitted by law, promotions and discounts may be subject to conditions, limitations, or restrictions determined by us in our sole discretion. We are not required to publish or make available specific promotional terms, and any perceived errors, omissions, or inconsistencies in promotional materials do not create binding obligations.
You are granted a limited, revocable, non-transferable license to use the Service for personal, non-commercial purposes only. You may not copy, distribute, sell, reverse engineer, or otherwise exploit any part of the Service or its content.
Content may be provided by third-party instructors or partners under separate agreements. You have no rights under those agreements, and we are not obligated to provide access to any specific instructor or content.
If you submit content to the Service (such as reviews, gallery submissions, or comments), you grant us a worldwide, royalty-free, perpetual, irrevocable, transferable, sublicenseable license to use, reproduce, distribute, display, and create derivative works from that content for the purpose of operating and promoting the Service. We may remove any user-submitted content at any time, for any reason, without notice or liability.
All content and materials available through the Service are owned by CreativeLive or its licensors and are protected by applicable copyright, trademark, and other intellectual property laws. Nothing in these Terms grants you any ownership interest in any Service content.
We respect intellectual property rights and expect users to do the same. If you believe your copyrighted work has been infringed through the Service, please submit a written notice to our designated agent that includes:
• An electronic or physical signature of the person authorized to act on behalf of the copyright owner;
• Identification of the copyrighted work claimed to have been infringed;
• A description of where the allegedly infringing material is located on the Service;
• Your contact information, including address, telephone number, and email address;
• A statement of good faith belief that the use is not authorized by the copyright owner, its agent, or the law; and
• A statement, under penalty of perjury, that the information in your notice is accurate and that you are authorized to act on behalf of the copyright owner.
DMCA notices should be sent to:
CreativeLive, Inc.
185 Madison Ave, 3rd Floor
New York, NY 10016
Email: support@creativelive.com
We may, in appropriate circumstances, suspend or terminate the accounts of repeat infringers.
Counter-Notification
If you believe that content you posted was removed by mistake or misidentification, you may submit a counter-notification to our designated agent that includes your physical or electronic signature, identification of the removed material and where it appeared, your contact information, a statement under penalty of perjury that the content was removed by mistake or misidentification, and consent to the jurisdiction of the Federal District Court for the judicial district in which your address is located.
We may suspend or terminate your access to the Service at any time, for any reason, without notice or liability. Upon termination, all licenses granted to you under these Terms will immediately cease.
THE SERVICE IS PROVIDED "AS IS" AND "AS AVAILABLE" WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED. TO THE FULLEST EXTENT PERMITTED BY LAW, CREATIVELIVE DISCLAIMS ALL WARRANTIES, INCLUDING IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. WE DO NOT GUARANTEE THE AVAILABILITY, ACCURACY, OR COMPLETENESS OF ANY CONTENT OR THE SERVICE, OR THAT THE SERVICE WILL MEET YOUR REQUIREMENTS OR BE UNINTERRUPTED OR ERROR-FREE.
TO THE MAXIMUM EXTENT PERMITTED BY LAW, CREATIVELIVE'S TOTAL LIABILITY TO YOU FOR ANY CLAIM ARISING OUT OF OR RELATING TO THESE TERMS OR YOUR USE OF THE SERVICE IS LIMITED TO THE GREATER OF (A) THE AMOUNT YOU PAID TO US IN THE 12 MONTHS PRECEDING THE CLAIM, OR (B) $100. IN NO EVENT WILL WE BE LIABLE FOR ANY INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL, OR EXEMPLARY DAMAGES, REGARDLESS OF THE CAUSE OR WHETHER WE HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. SOME JURISDICTIONS DO NOT ALLOW THESE LIMITATIONS, SO THEY MAY NOT APPLY TO YOU IN FULL.
You agree to indemnify, defend, and hold harmless CreativeLive, Inc. and its affiliates, officers, directors, employees, agents, and licensors from and against any and all claims, damages, losses, costs, and expenses (including reasonable attorneys' fees) arising from or related to your use of the Service, your User Content, or your violation of these Terms.
All disputes arising out of or relating to these Terms or the Service will be resolved exclusively through binding arbitration in New York, NY, in accordance with the rules of the American Arbitration Association. You waive the right to a jury trial and the right to participate in any class action or representative proceeding.
Notwithstanding the foregoing, CreativeLive may bring claims in court for matters involving intellectual property, unauthorized use, or fraud.
You may opt out of this arbitration agreement by sending written notice to support@creativelive.com within 30 days of first accepting these Terms. If you opt out, disputes will be governed by Section 15 below.
These Terms are governed by the laws of the State of New York, without regard to its conflict of laws provisions. To the extent any dispute proceeds in court rather than arbitration, you consent to exclusive jurisdiction in the state and federal courts located in New York, New York.
We may update these Terms at any time. We will post the updated Terms on the Service. Your continued use of the Service after any update constitutes acceptance of the revised Terms.
CreativeLive, Inc.
185 Madison Ave, 3rd Floor
New York, NY 10016
Email: support@creativelive.com
Effective Date: 3/17/26
This Privacy Policy explains how CreativeLive, Inc. ("we," "us," or "our") collects, uses, stores, discloses, and otherwise processes personal information through the Service.
We may collect the following categories of information:
• Account information: name, email address, username, and password;
• Payment-related information: processed through third-party payment processors; we receive only transaction confirmations;
• Usage data: activity on the Service, pages and content viewed, session duration;
• Device and technical data: IP address, browser type, operating system, and device identifiers;
• Communications and submissions: messages, reviews, gallery content, and other content you submit; and
• SMS data: if you opt in, your phone number and consent data for SMS communications.
We use the information we collect to:
• Provide, maintain, and improve the Service;
• Process payments and fulfill orders;
• Communicate with you about your account, purchases, and the Service;
• Send marketing messages, subject to your opt-out rights;
• Send SMS communications, if you have opted in (see Section 3);
• Detect fraud and maintain the security of the Service; and
• Comply with applicable legal obligations.
If you opt in by providing your phone number and checking the applicable consent box, we will collect your phone number and consent data to send SMS communications, including payment reminders, service updates, and responses to inquiries. We may share this data with trusted third-party messaging platforms solely for delivering SMS services, subject to confidentiality obligations. SMS data is securely stored and retained only as long as necessary to fulfill its purpose or meet applicable legal obligations. You may opt out at any time by replying STOP to any of our messages or by contacting us at support@creativelive.com.
We may share your information with:
• Service providers: third parties that assist with hosting, analytics, payment processing, fraud prevention, and other operational functions, under confidentiality obligations;
• Business partners or successors: in connection with a merger, acquisition, or sale of assets;
• Legal authorities: when required by law, court order, or to protect our rights; and
• Other parties with your consent.
We do not sell personal information.
We use cookies and similar technologies for core functionality, analytics, and marketing and advertising purposes. You can control cookies through your browser settings, though doing so may affect how the Service functions. We may expand our use of cookies and similar technologies in the future.
We retain information for as long as necessary for business, legal, and operational purposes, including fraud prevention, compliance with applicable law, and enforcement of our Terms.
You may:
• Access or update your account information by logging into your account;
• Opt out of marketing emails by clicking the unsubscribe link in any marketing email or contacting us at support@creativelive.com; and
• Request deletion of your personal information, subject to applicable legal limitations, by contacting us at support@creativelive.com.
We use reasonable technical, administrative, and physical safeguards to protect your information. However, no system is completely secure and we cannot guarantee the absolute security of your information.
The Service is not intended for users under 18 years of age. We do not knowingly collect personal information from anyone under 18. If we learn that we have done so, we will delete it promptly.
If you are located in the European Union, the following additional rights apply to you under the General Data Protection Regulation:
• Right to access the personal information we hold about you;
• Right to correct or update inaccurate personal information;
• Right to request deletion of your personal information, subject to applicable exceptions;
• Right to restrict or object to certain types of processing;
• Right to withdraw consent at any time where processing is based on consent; and
• Right to lodge a complaint with a supervisory authority in your country of residence.
We process personal information only where we have a lawful basis to do so, including your consent, performance of a contract, a legitimate business interest, or a legal obligation. Personal information may be transferred to and processed in the United States. Where required, we implement appropriate transfer mechanisms, including standard contractual clauses approved by the European Commission.
To exercise your rights, please email support@creativelive.com with the subject line "GDPR."
If you are a California resident, the California Consumer Privacy Act provides you with the following rights:
• The right to know what personal information we have collected, used, disclosed, or sold about you;
• The right to request deletion of your personal information, subject to certain exceptions;
• The right to opt out of the sale of your personal information (note: we do not sell personal information); and
• The right to non-discrimination for exercising your CCPA rights.
To submit a verifiable consumer request, please email support@creativelive.com with the subject line "CCPA." We will respond within 45 days of receipt. You may designate an authorized agent to make a request on your behalf.
Depending on where you reside, you may have additional rights under applicable state privacy laws. We will not discriminate against you for exercising any privacy rights available to you.
If you access the Service from outside the United States, your information may be transferred to and processed in the United States, where data protection laws may differ from those in your country.
We may update this Privacy Policy at any time by posting the revised policy on the Service. Continued use of the Service following any update constitutes your acceptance of the revised policy.
CreativeLive, Inc.
185 Madison Ave, 3rd Floor
New York, NY 10016
Email: support@creativelive.com
The first installment is due one week before the first class. Subsequent installments are spread out evenly across the duration of the course.
| Installments | |
|---|---|
| 10% non-refundable deposit | |
| $1,895.00 | Total You Pay |