Train, evaluate and improve machine learning models.
Train, evaluate and improve machine learning models.
Python basics and school-level mathematics recommended.
Course duration: Self-paced
Regression and classification algorithms.
Clustering and dimensionality reduction.
Metrics, cross-validation and tuning.
Register, verify your email and enroll (pay securely online if the certification is paid).
Use the syllabus and learning outcomes to prepare at your own pace.
Start the timed exam any time within your access window. Results are instant.
Pass to receive a QR-verifiable digital certificate.
Online multiple-choice examination with automated grading.
| Exam format | Single final online exam |
|---|---|
| Number of questions | 30 multiple-choice |
| Time allowed | 60 minutes |
| Passing score | 60% or higher |
| Attempts allowed | 3 |
| Exam access window | 90 days from enrollment activation |
| Grading | Automatic, immediately after submission |
Issued as a PDF with a unique certificate number and verification ID.
This certification is part of the DataSquare Solutions Internship Certification Programs. Details are shared with enrolled learners.
An advanced self-paced virtual internship in deep learning and computer vision covering neural network training, CNNs, transfer learning, object detection and segmentation, ending with a capstone image model project.
A self-paced virtual internship covering the foundations of machine learning with Python. Prepare data, train and evaluate models, pass online module exams, complete a capstone project and earn a QR-verifiable certificate.