Learn to build and evaluate machine learning models with Python, pandas, NumPy, and scikit-learn. Start with linear and logistic regression, then work with k-nearest neighbors, decision trees, and random forests.
Practice cleaning data, choosing features, and splitting datasets for training, testing, and validation. Explore overfitting, bias, and variance, and compare model performance. Mathematical concepts are explained visually, without a formal math component.
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.
Learn the concepts and skills covered in this course or your tuition is on us. See details and terms & conditions.
Work on projects proven to boost retention
Refined over many cohorts for an optimal learning experience
Excellent classes and excellent venue! It has just the right level of personal attention and class participation. I would highly recommend NYIM and look forward to taking future classes there. – Hazel S.
Experienced educators who are driven to help you succeed
Refresh the materials and gain additional practice
Attend this course in-person in NYC or 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 NYIM Training, 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 185 Madison Ave, 3rd Fl, 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.
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!
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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 30 days after the session.
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 payment plans or student financing. See our Payment Plan FAQ to find related programs that qualify.
Live online attendance is available for selected upcoming dates. Check the schedule for each date's attendance format and time zone before enrolling.
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There are no extra fees or taxes for our courses. The price you see on this page is the maximum you’ll pay us.
