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Results for "random forests"
- Status: Free
Coursera 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
École Polytechnique
Skills you'll gain: Probability, Probability Distribution, Statistical Methods, Sampling (Statistics), Statistical Inference, Simulations, Statistical Modeling
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
National Taiwan University
Skills you'll gain: Classification And Regression Tree (CART), Machine Learning Algorithms, Supervised Learning, Applied Machine Learning, Decision Tree Learning, Random Forest Algorithm, Machine Learning, Deep Learning, Artificial Neural Networks, Feature Engineering, Unsupervised Learning, Dimensionality Reduction, Regression Analysis
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
- Status: Free Trial
University of Michigan
Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Integrity, Data Collection, Data Cleansing, Quality Assurance, Data Processing, Data Analysis, Data Access, Statistical Analysis, Sampling (Statistics), Threat Detection, Statistical Methods
Coursera Project Network
Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Statistical Modeling, Performance Tuning
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
- Status: Free Trial
University of Pennsylvania
Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics
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
Searches related to random forests
In summary, here are 10 of our most popular random forests courses
- Hyperparameter Tuning with Keras Tuner: Coursera Project Network
- Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
- RStudio for Six Sigma - Basic Descriptive Statistics: Coursera Project Network
- 機器學習技法 (Machine Learning Techniques): National Taiwan University
- Approximation Algorithms: EIT Digital
- Introduction to Computer Vision: University of Colorado Boulder
- Total Data Quality: University of Michigan
- Tidymodels in R: Building tidy machine learning models: Coursera Project Network
- Clustering and Classification with Machine Learning in R: Packt
- Regression Analysis for Statistics & Machine Learning in R: Packt