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Results for "random forest algorithm"
Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Jupyter, Statistical Machine Learning, Decision Tree Learning, Machine Learning, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Performance Measurement, Data Processing, Process Optimization, Data Transformation
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: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Databases, Stored Procedure, Web Scraping, Relational Databases, R Programming, Automation, Computer Programming Tools, GitHub, Python Programming
Coursera Project Network
Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Bayesian Network, Machine Learning
Skills you'll gain: Cloud Computing Architecture, Peripheral Devices, Cloud Services, Cybersecurity, Computing Platforms, Cloud Security, Cloud Infrastructure, Network Troubleshooting, Cloud Platforms, Encryption, Data Storage, Cyber Attacks, Software Development Life Cycle, Networking Hardware, Application Development, Information Technology, Cloud Computing, Databases, Computer Hardware, Computer Systems
Stanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Computational Thinking, Network Analysis, Network Routing, Mathematical Theory & Analysis, Analysis, Probability, Design Strategies, Computer Science
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
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 California San Diego
Skills you'll gain: Exploratory Data Analysis, Apache Spark, Big Data, Regression Analysis, Data Mining, Applied Machine Learning, Statistical Analysis, Machine Learning, Data Analysis, Data Transformation, Predictive Modeling, Data Cleansing, Supervised Learning
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
Stanford University
Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Mathematical Theory & Analysis, Analysis, Probability, Design Strategies
University of Amsterdam
Skills you'll gain: Qualitative Research, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Statistical Inference, Statistical Analysis, Statistical Software, Probability Distribution, Research, Correlation Analysis, Research Design, Sampling (Statistics), Research Reports, Science and Research, Probability, Interviewing Skills, Data Analysis, Sample Size Determination, Statistical Methods, Social Sciences
In summary, here are 10 of our most popular random forest algorithm courses
- Machine Learning Algorithms: Supervised Learning Tip to Tail:Â Alberta Machine Intelligence Institute
- Probabilistic Graphical Models 1: Representation:Â Stanford University
- Data Science Fundamentals with Python and SQL:Â IBM
- ML Parameters Optimization: GridSearch, Bayesian, Random:Â Coursera Project Network
- Information Technology (IT) and Cloud Fundamentals:Â IBM
- Algorithms:Â Stanford University
- Machine Learning:Â University of Washington
- Natural Language Processing with Classification and Vector Spaces:Â DeepLearning.AI
- Machine Learning With Big Data:Â University of California San Diego
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning:Â DeepLearning.AI