In this 2-hour long project-based course, you will delve into the intricacies of machine learning explainability. You will learn to interpret feature relations, visualize model relations, and analyze feature & model relations with statistics. The course will equip you with the knowledge to understand the predictions of your model and much more.
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Get Started / More InfoApplied Data Science is a 4-course Specialization by IBM, providing hands-on skills in Python, data analysis, and visualization for making data-driven business decisions....
Advanced Recommender Systems is a comprehensive course that equips learners with the knowledge and skills to build sophisticated recommender systems using advanced...
Machine Learning Models in Science provides a comprehensive overview of applying machine learning techniques to scientific problems, focusing on data preprocessing,...
Deploy deep learning models with TensorFlow Serving and Docker in this hands-on guided project. Train, deploy, and perform model inference within 90 seconds using...