Python Machine Learning Advanced Course Online
Offered by our affiliate school, Noble Desktop
Sign up at www.nobledesktop.comOffered by our affiliate school, Noble Desktop
Sign up at www.nobledesktop.comThis hands-on course introduces Natural Language Processing (NLP) through real-world machine learning applications built with Flask. Students learn how to clean and structure text using RegEx and lemmatization, perform sentiment analysis with Naive Bayes, TextBlob, and VADER, and develop a movie recommendation system using TF–IDF and cosine similarity.
The course also covers Flask fundamentals, dynamic HTML templating, and API integration for working with live data. By the end of the course, students deploy a complete Movie Recommender App, gaining practical experience in applied machine learning and web application development.
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This training will definitely help my career. I was able to show my supervisor and co-workers what the software programs have to offer and what I'm capable of when the time comes for creating that construction design team in the future. I was able to provide documentation to my employer that the money spent was well worth it. The training I received at VDCI will become an asset moving forward.
—Donahue Chase
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Our instructors are industry experts and experienced educators, driven to help you succeed.
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We want you to leverage the skills you’ll learn. In addition to 30 hours of hands-on, self-paced training, you’ll receive one live 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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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 payment plans or student financing. See our Payment Options FAQ to find related programs that qualify.
This course is available for 30 days.
You can choose when to start your access period. Once you activate, you will have 30 days to complete it (access the course materials, quizzes, projects and videos). You may request one extension of seven (7) days. Other extension requests will be evaluated on a case-by-case basis. Videos are not downloadable.
For this course, you are entitled to a 90% refund (your payment less the nonrefundable 10% registration fee) within 30 days of purchase if you have not accessed the course materials.
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, 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.
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Take Python for Data Science Course Online first if you need to build core Python, data analysis, visualization, and statistics skills before tackling this course's advanced NLP pipelines, Flask deployment, and ML engineering work.
Master the basics of machine learning, including regression analysis and classification algorithms, in this hands-on course. Develop the skills required to tackle real-world challenges using machine learning, with an emphasis on Python programming and key data science libraries.
Take Python Machine Learning Course Online first if you need the foundations of regression and classification with Python data libraries before advancing to this course's NLP pipelines, recommendation engines, and Flask-based model deployment.
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, unlocking high-paying job opportunities in the field.
Choose Data Science & AI Certificate Online if you want a broader entry-level path covering Python, SQL, automation, data analysis, and predictive modeling, rather than this course's focused deep dive into NLP and ML deployment with Flask.
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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 | |
|---|---|
| 10% non-refundable deposit | |
| $1,895.00 | Total You Pay |
See the Installment plan FAQ for more information.
Instructor
Garfield is an experienced software trainer with over 16 years of real-world professional experience. He started as a data analyst with a Wall Street real estate investment company & continued working in the professional development department at New York Road Runners Organization. He enjoys bringing humor to whatever he teaches and loves conveying ideas in novel ways that help others learn more efficiently.
Since starting his professional training career in 2016, he has worked with several corporate clients including Adobe, HBO, Amazon, Yelp, Mitsubishi, WeWork, Michael Kors, Christian Dior, and Hermès.
Outside of work, his hobbies include rescuing & archiving at-risk artistic online media using his database management skills.
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
Brian McClain is an experienced instructor, curriculum developer, and web developer. Brian served as Director for a coding bootcamp, where he is now a lead instructor and course developer for both JavaScript and Python. He teaches Web Development, JavaScript, Python for Data Science, Machine Learning, and AI. He taught Python Data Science and Machine Learning as an Adjunct Professor of Computer Science at Westchester County College.
Brian is also an active industry professional in the field of generative AI app development. His website and iOS app, Artmink, provide appraisals of art and antiques from user-uploaded images.