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Explore the Random Forest Course Catalog
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
National Taiwan University
Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Machine Learning, Random Forest Algorithm, Decision Tree Learning, Deep Learning, Artificial Neural Networks, Dimensionality Reduction, Regression Analysis
- 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
- Status: Free Trial
Johns 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
Google Cloud
Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Anomaly Detection, Application Deployment, Data Store, Jupyter, Google Cloud Platform, Predictive Modeling, Data Analysis, Data Processing, Data Warehousing, Continuous Monitoring, Statistical Modeling
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
- Status: Free Trial
Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Data Structures, Data Manipulation, Computer Programming, Data Processing, Scripting, Software Installation, Development Environment, Jupyter
- Status: NewStatus: Free Trial
Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Random Forest Algorithm, Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Classification And Regression Tree (CART), Feature Engineering, Supervised Learning, Statistical Machine Learning, Predictive Modeling, Artificial Intelligence, Exploratory Data Analysis
EIT Digital
Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Theoretical Computer Science, Linear Algebra
- Status: New
Johns Hopkins University
Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction, Correlation Analysis
- Status: NewStatus: Free Trial
Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Descriptive Statistics, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Probability
In summary, here are 10 of our most popular random forest courses
- Regression Analysis for Statistics & Machine Learning in R: Packt
- 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
- Data Analysis with the FraudFinder Workshop: Google Cloud
- Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
- RStudio for Six Sigma - Basic Descriptive Statistics: Coursera Project Network
- Python Programming for Quantum Computing: Packt
- Advanced ML Algorithms & Unsupervised Learning: Packt
- Approximation Algorithms: EIT Digital