Created By Bradford Tuckfield
Learning Objectives:
Learn to identify business needs and translate them into software requirements, while documenting best practices and planning Machine Learning projects with automated data analysis.
Learning Objectives:
Explore Machine Learning applications in various sectors like banking, finance, customer segmentation, manufacturing, recommendation systems and sports, focusing on data exploration, preprocessing, and model building.
Learning Objectives:
Understand different techniques for explaining Machine Learning models, including graphical and mathematical explanations, and grasp the concept of local and global model explanations.
Learning Objectives:
Gain knowledge of ML model and data preparation pipelines, and explore techniques for hyperparameter tuning, handling class imbalances, data augmentation, privacy considerations, and GPU acceleration.
Learning Objectives:
Understand the differences between local and deployed ML models, learn about the deployment framework FastAPI, and explore automated model predictions, performance logging, and MLOps concepts.
Learning Objectives:
Learn industry best practices such as regular re-training, adjusting for model drift, dependency management, character encoding, data parsing, knowledge transfers, and documentation to ensure model efficacy over time.
Basic knowledge of statistics and statistical analysis is beneficial
| Other Bootcamps | Other Video Courses | Knowledgehut UI/UX bootcamp | |
|---|---|---|---|
| On-Demand Videos | |||
| Immersive Learning Experience | |||
| Structured Curriculum | |||
| Course Curated by Industry Experts | |||
| Auto-Graded Assessments | |||
| Lifetime Access to Courseware | |||
| Hands-On with Cloud Labs |
Yes, you will experience KnowledgeHut's immersive learning in an on-demand format. This will include e-learning material to help you:
LEARN with recall quizzes, interactive eBooks, and case studies
ASSESS your skills progression with diagnostic, module-level, and final assessments
PRACTICE with real-world simulations and Cloud Labs
GAIN INSIGHTS with real-time reports and analytics on how you're progressing, your learning challenges, and suggestions of sections to revisit to build competency in the required areas.
Yes, our online course is designed to give you flexibility to skill up as per your convenience. The course is delivered in a Self-Paced mode so that you can balance your work and learning as per your schedule.
Yes! Upon passing this online course, you will receive a signed certificate of completion from KnowledgeHut. Thousands of KnowledgeHut alumni use their course certificate to demonstrate skills to employers and their networks.
More than the certificate, however, you will get to showcase your newly acquired skills by working on real-world projects and adding these to your portfolio. KnowledgeHut’s online courses is well-regarded by industry experts, who contribute to our curriculum and use our tech programs to train their own teams.
You can cancel your enrolment and receive refunds in line with our Cancellations and Refunds policy found at https://www.knowledgehut.com/refund-policy.
Yes! Upon passing this course, you will receive a signed certificate of completion from KnowledgeHut. Thousands of KnowledgeHut alumni use their course certificate to demonstrate skills to employers and their networks.
More than the certificate, however, you will get to showcase your newly acquired skills by working on real-world projects and adding these to your portfolio. KnowledgeHut’s courses are well-regarded by industry experts, who contribute to our curriculum and use our tech programs to train their own teams.
Yes, it does! In the unlikely event that you are not satisfied with the course, and you wish to withdraw within the first seven days, we’ll issue a 100% refund. Refer to our Online Self-Paced Courses Refund Policy for more details.
