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Results for "random forest algorithm"
Stanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing
Skills you'll gain: Cloud Computing Architecture, Peripheral Devices, Technical Support, Cloud Services, Cybersecurity, Computing Platforms, Hardware Troubleshooting, IT Service Management, Cloud Security, Cloud Infrastructure, Network Troubleshooting, Desktop Support, Encryption, Data Storage, Software Development Life Cycle, Professional Networking, Information Technology, Cloud Computing, Interviewing Skills, Computer Hardware
University of Washington
Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Text Mining, Machine Learning Algorithms, Big Data, Statistical Inference, Dimensionality Reduction
DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Text Mining, Machine Learning, Feature Engineering, Artificial Intelligence, Unstructured Data, Regression Analysis, Bayesian Statistics
University of Washington
Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Predictive Analytics, Analytics, Data Analysis, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Statistics, Graph Theory, Probability & Statistics, Network Analysis, Big Data, Sampling (Statistics), Random Forest Algorithm, Algorithms
University of Michigan
Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Data Analysis Software, Random Forest Algorithm
- Status: Free
Eindhoven University of Technology
Skills you'll gain: Business Process, Process Analysis, Process Improvement, Business Process Management, Data Mining, Business Process Modeling, Process Optimization, Operational Analysis, Performance Analysis, Data Analysis, Real Time Data, Data Science, Verification And Validation
University of Colorado Boulder
Skills you'll gain: Probability, Probability Distribution, Statistics, Bayesian Statistics, Data Science, Statistical Analysis, Statistical Inference, Descriptive Statistics
University of Washington
Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Methods, Dimensionality Reduction, Python Programming, Data Validation
Skills you'll gain: Unsupervised Learning, Deep Learning, Anomaly Detection, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Data Import/Export, Artificial Neural Networks, Data Modeling, Data Manipulation, Statistical Modeling
University of California San Diego
Skills you'll gain: Data Structures, Algorithms, Data Storage, Programming Principles, Graph Theory, Computer Programming, C++ (Programming Language), Java, Theoretical Computer Science, Debugging
In summary, here are 10 of our most popular random forest algorithm courses
- Probabilistic Graphical Models 1: Representation:Â Stanford University
- IBM IT Support:Â IBM
- Machine Learning:Â University of Washington
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning:Â DeepLearning.AI
- Natural Language Processing with Classification and Vector Spaces:Â DeepLearning.AI
- Practical Predictive Analytics: Models and Methods:Â University of Washington
- Introduction to Machine Learning in Sports Analytics:Â University of Michigan
- Process Mining: Data science in Action:Â Eindhoven University of Technology
- Probability Theory: Foundation for Data Science:Â University of Colorado Boulder
- Machine Learning: Regression:Â University of Washington