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Explore the Random Forest Course Catalog
National Taiwan University
Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Statistical Machine Learning, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Deep Learning, Machine Learning, Applied Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Regression Analysis
Status: FreeCoursera Project Network
Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms
Status: Free TrialJohns Hopkins University
Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Quantitative Research, Research Methodologies, Data Analysis, Data Quality, Data Transformation, Data Modeling, Data Validation, Statistical Methods
Status: Free TrialUniversity of Pennsylvania
Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics
Coursera Project Network
Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Data Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Six Sigma Methodology, Box Plots, R Programming, Probability Distribution, Data Analysis
École Polytechnique
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Advanced Mathematics, Mathematical Theory & Analysis, Simulations, Statistical Methods, Statistical Inference
Status: Free TrialJohns Hopkins University
Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Data Analysis, Probability, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Computational Thinking, Artificial Intelligence and Machine Learning (AI/ML), Simulations
EIT Digital
Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Theoretical Computer Science, Linear Algebra
University of Colorado Boulder
Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Deep Learning, Data Ethics, Computational Thinking, Artificial Intelligence, Data Processing, Linear Algebra, Probability Distribution
Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation, Regression Analysis
Skills you'll gain: Regression Analysis, Data Cleansing, R Programming, Applied Machine Learning, Statistical Analysis, Data Manipulation, Statistical Machine Learning, Classification And Regression Tree (CART), Tidyverse (R Package), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Data Transformation, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction
EIT Digital
Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Computational Thinking, Geographic Information Systems, Theoretical Computer Science, Spatial Analysis
In summary, here are 10 of our most popular random forest courses
- 機器學習技法 (Machine Learning Techniques): National Taiwan University
- Hyperparameter Tuning with Keras Tuner: Coursera Project Network
- Measurement – Turning Concepts into Data: Johns Hopkins University
- Statistics for Data Science Essentials: University of Pennsylvania
- RStudio for Six Sigma - Basic Descriptive Statistics: Coursera Project Network
- Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
- Foundations of Probability and Random Variables: Johns Hopkins University
- Approximation Algorithms: EIT Digital
- Introduction to Computer Vision: University of Colorado Boulder
- Clustering and Classification with Machine Learning in R: Packt
