Python Machine Learning Immersive
Hands-on Training from Experts
NYC or Live Online
Learn Python machine learning algorithms in NYC.
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 has a prerequisite
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.
Highly Reviewed by Our Alumni
From our hands-on training style to world-class instructors and custom-crafted curriculum, we deliver results our alumni are proud of.
Learn the Skills Guarantee™
Learn the concepts and skills covered in this course or your tuition is on us. See details and terms & conditions.
Hands-on training in small groups
Work on projects proven to boost retention
Time-tested curriculum and supporting materials
Refined over many cohorts for an optimal learning experience
I didn't expect to learn much in a 4 session Python course, but Art's teaching style was very fitting for me. As the Chinese proverb states: Tell me, I'll forget. Show me, I'll remember. Involve me, I'll understand.
—James C.
Learn from industry experts with teaching experience
Experienced educators who are driven to help you succeed
Retake the course for free within one year
Refresh the materials and gain additional practice
Interactive Training
Learn in Real-Time with Small Class Sizes
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 Practical Programming, you’ll learn in small groups (typically 8-15 students) and receive personalized attention.
On Campus in NYC 185 Madison Ave, NYC
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.
- Live, interactive class
- Experienced instructor in the room with you
- Computer and software provided
Live Online Remote, from anywhere
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.
- Live, interactive class
- Experienced instructor teaching over Zoom
- Remote setup assistance provided
Earn a Certificate of Completion
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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Free Retake & Class Recordings
Missed a session or need a refresher? We have you covered!
Free Retake
We offer a single free retake of the class within a year.
Class Recordings
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.
Frequently Asked Questions
Who is the target audience for this course?
- Confident python developers who would like to explore machine learning hands-on
- Developers with strong skills in another language, and some background working with data looking to building machine learning models
How is this class structured?
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.
How many students are in a given class?
Noble's typical class ranges from 8-12 students, but we allow up to 20 students to register for our course.
How does this class prepare me for the job market?
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.
Is there mandatory work outside of the classroom?
Students are not required to complete any work outside of class. However, we provide students with bonus materials if they would like extra practice.
What tangible skills do students leave with after the class?
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.
Does this course require any prior knowledge or experience?
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.
Do you offer payment plans or student financing for this course?
This course does not qualify for payments plans or student financing. See our Payment Plan FAQ to find related programs that qualify.
Can I take this course online (remote learning)?
You may attend this training virtually (online) at the scheduled time the course is offered (New York, Eastern Time).
How does attending “live online” work?
- Students can attend this training remotely through screen sharing software (we use Zoom).
- Participants can hear the instruction, ask questions, and even share their screen with the instructor.
- For audio you can use your computer’s microphone/speakers or call a phone number that we’ll provide.
- Classes are activity-based and taught by a live instructor, so we strongly encourage students who are local to the area to attend in person!
- You will need your own computer and copy of any required software. If you don’t have the software, you can usually do a free trial or purchase your own license. If you need assistance, contact us at hello@nobledesktop.com
What happens if I need to miss a session?
You have some options:
- You can watch a recording of the session. We will provide any course materials.
- If you can’t come into the classroom but can still attend remotely, we will provide you with the Zoom login information.
- You can use your free retake to make up any missed class time.
