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101 results for "cross validation"
Skills you'll gain: Machine Learning, Machine Learning Algorithms, Machine Learning Software, Python Programming, Statistical Programming, Apache, Data Management, Extract, Transform, Load, Feature Engineering, Probability & Statistics, Human Learning
Skills you'll gain: Machine Learning, Human Learning
Skills you'll gain: Python Programming, Data Science, Machine Learning, Regression
University of Colorado Boulder
Skills you'll gain: Machine Learning, Planning
Skills you'll gain: Human Learning, Machine Learning, Deep Learning, Python Programming, Artificial Neural Networks, Machine Learning Algorithms, Applied Machine Learning, Algorithms, Regression, Mathematics
Skills you'll gain: Strategy, User Experience
University of Washington
Skills you'll gain: Computer Programming, R Programming
Skills you'll gain: Machine Learning, Probability & Statistics, Regression, Statistical Machine Learning, Machine Learning Algorithms, Data Analysis, Human Learning, Statistical Tests, Applied Machine Learning, Machine Learning Software
Peking University
Johns Hopkins University
Skills you'll gain: Algorithms, Applied Machine Learning, Data Analysis, Human Learning, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Statistical Machine Learning, Machine Learning Software, R Programming
University of Illinois at Urbana-Champaign
Skills you'll gain: Machine Learning, Algorithms, Machine Learning Algorithms, Python Programming
University of Colorado Boulder
Skills you'll gain: Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Python Programming, Probability & Statistics, Statistical Programming, Regression, Data Analysis, Applied Machine Learning, Statistical Tests
In summary, here are 10 of our most popular cross validation courses
- Advanced Machine Learning and Signal Processing: IBM
- Practical Machine Learning on H2O: H2O
- Introduction to Data Science and scikit-learn in Python: LearnQuest
- Project Planning and Machine Learning: University of Colorado Boulder
- Deep Neural Networks with PyTorch: IBM
- Designing User Interfaces and Experiences (UI/UX): IBM
- Practical Predictive Analytics: Models and Methods: University of Washington
- Supervised Machine Learning: Regression: IBM
- Nursing Research: Principles and Methods(护理研究:基本原理与方法): Peking University
- Practical Machine Learning: Johns Hopkins University