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Learn Decision Trees, earn certificates with free online courses from Stanford, MIT, University of Pennsylvania, University of Michigan and other top universities around the world. Read reviews to decide if a class is right for you.
Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.
Learn to build decision trees, SVMs, and neural networks for machine learning and deep learning. Gain practical skills in constructing models to solve regression, classification, computer vision, and natural language processing problems.
Explore AI fundamentals, regression analysis, model preparation, classification techniques, and advanced machine learning concepts through interactive labs and real-world applications.
Comprehensive overview of project and production management, covering identification, appraisal, scheduling, resource allocation, monitoring, and organizational aspects, plus production system lifecycle and decision-making tools.
Master the tools of predictive analytics in this statistics based analytics course.
Learn various scientific techniques that will allow the analysis, inference and prediction of large-scale data (e.g. GPS vehicular data, social media data, mobile phone data, individual social network data etc.) that are present in city networks.
Learn the fundamentals of machine learning to help you correctly apply various classification and regression machine learning algorithms to real-life problems using the Python toolbox scikit-learn.
Get a practical insight into big data - and popular tools for collecting, analysing and visualising it - with this flexible program of online courses from Queensland University of Technology.
Learn to predict future business events using statistical models and data analysis techniques for effective decision-making and competitive advantage in various industries.
Explore key predictive analytics techniques including regression, decision trees, ensembles, and neural networks. Gain hands-on experience in model fitting, performance evaluation, and practical application of machine learning methods.
Learn effective data science techniques for detecting bank transaction fraud using machine learning, decision trees, and anomaly detection. Gain practical insights through real-world case studies and hands-on guidance.
Explore the fundamentals and advanced concepts of Gradient Boost for regression and classification in machine learning.
Explore decision and regression trees, from basic concepts to advanced techniques like feature selection, missing data handling, and pruning. Includes practical Python implementation.
The course places machine learning in its context within AI and gives an introduction to the most important core techniques such as decision tree-based inductive learning, inductive logic programming, reinforcement learning and deep learning through deci…
Learn techniques for identifying the root cause of a problem, generating options, and selecting the best solution.
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