Filter by
The language used throughout the course, in both instruction and assessments.
Results for "random+forest+algorithm"
Johns Hopkins University
Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Exploratory Data Analysis
Skills you'll gain: Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Matplotlib, Classification And Regression Tree (CART), Machine Learning, Supervised Learning, Data Manipulation, Python Programming, Data Transformation, Programming Principles, Data Cleansing, Data Visualization Software, Pandas (Python Package), NumPy
Johns Hopkins University
Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Artificial Intelligence and Machine Learning (AI/ML), Simulations
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: Generative AI, Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Applied Machine Learning, Deep Learning, Machine Learning, Python Programming, Supervised Learning, Artificial Neural Networks, Development Environment, Software Installation
Skills you'll gain: Data Visualization, Text Mining, Scatter Plots, Data Visualization Software, Box Plots, Generative AI, Unstructured Data, Histogram, Performance Tuning, Data Analysis, Natural Language Processing, Artificial Intelligence
University of Glasgow
Skills you'll gain: Matlab, Artificial Neural Networks, Machine Learning Methods, Engineering Practices, Applied Machine Learning, Data Manipulation, Machine Learning, Data Processing, Machine Learning Algorithms, Data Cleansing, Supervised Learning, Data Quality, Classification And Regression Tree (CART), Predictive Modeling, Artificial Intelligence, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Scripting, Algorithms
Fred Hutchinson Cancer Center
Skills you'll gain: ChatGPT, Generative AI, Data Ethics, Algorithms, Artificial Intelligence, Predictive Analytics, Machine Learning, Ethical Standards And Conduct, Diversity Awareness, Data-Driven Decision-Making, Software Documentation
Johns Hopkins University
Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Database Systems, Applied Machine Learning, Database Management, Cloud Computing, Big Data, Machine Learning Software, Data Processing, Machine Learning, Scalability, Data Integrity, Disaster Recovery, Algorithms
Skills you'll gain: Unsupervised Learning, Data Visualization, Machine Learning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Exploratory Data Analysis, Data Science, Statistical Methods, Algorithms, NumPy, Python Programming, Development Environment
Skills you'll gain: AWS SageMaker, Applied Machine Learning, Machine Learning, Amazon Web Services, Predictive Modeling, Version Control, Amazon S3, Predictive Analytics, Data Validation, Data Cleansing, Data Management, Verification And Validation
- Status: Free
Northeastern University
Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction
In summary, here are 10 of our most popular random+forest+algorithm courses
- Advanced Methods in Machine Learning Applications: Johns Hopkins University
- Machine Learning: Random Forest with Python from Scratch©: Packt
- Foundations of Probability and Random Variables: Johns Hopkins University
- ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera Project Network
- Machine Learning – Modern Computer Vision & Generative AI: Packt
- NVIDIA: Prompt Engineering and Data Analysis: Whizlabs
- Applied AI for Engineers and Scientists: Foundations: University of Glasgow
- Practical Steps for Building Fair AI Algorithms: Fred Hutchinson Cancer Center
- Reliability, Cloud Computing and Machine Learning: Johns Hopkins University
- Cluster Analysis and Unsupervised Machine Learning in Python: Packt