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Explore the Random Forest Course Catalog
- Status: Free Trial
University of Colorado Boulder
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Data Science, Random Forest Algorithm, Python Programming, Classification And Regression Tree (CART), NumPy, Regression Analysis, Data Analysis, Feature Engineering, Statistical Analysis, Performance Tuning
- Status: Free Trial
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Algorithms, Linear Algebra, Probability Distribution
Skills you'll gain: Data Cleansing, R Programming, Statistical Analysis, R (Software), Data Manipulation, Classification And Regression Tree (CART), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction
- Status: Free Trial
University of Michigan
Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Python Programming, Random Forest Algorithm
- Status: Free Trial
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Statistics, Data Visualization, Statistical Methods, Web Scraping, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Data Visualization Software, Python Programming
- Status: Free Trial
Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Random Forest Algorithm, Bayesian Statistics
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Simulations
Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), 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
- Status: Free Trial
Stanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing
- Status: NewStatus: Free Trial
Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Machine Learning, Classification And Regression Tree (CART)
- Status: Free Trial
University of Pennsylvania
Skills you'll gain: Feature Engineering, Unsupervised Learning, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Random Forest Algorithm, Scikit Learn (Machine Learning Library), Data Analysis, Regression Analysis, Machine Learning, Python Programming
- Status: Free Trial
University of Illinois Urbana-Champaign
Skills you'll gain: Descriptive Statistics, Supply And Demand, Market Dynamics, Sampling (Statistics), Statistical Inference, Business Analytics, Bank Regulations, Financial Systems, Financial Policy, Banking, Probability Distribution, Statistical Analysis, Statistics, Regression Analysis, Data-Driven Decision-Making, Microsoft Excel, Statistical Methods, Probability & Statistics, Economics, Statistical Hypothesis Testing
In summary, here are 10 of our most popular random forest courses
- Introduction to Machine Learning: Supervised Learning:Â University of Colorado Boulder
- Fundamentals of Reinforcement Learning:Â University of Alberta
- Regression Analysis for Statistics & Machine Learning in R:Â Packt
- Introduction to Machine Learning in Sports Analytics:Â University of Michigan
- Data Science Fundamentals with Python and SQL:Â IBM
- Supervised Learning Regression Classification Clustering:Â Simplilearn
- Foundations of Probability and Random Variables:Â Johns Hopkins University
- Clustering and Classification with Machine Learning in R:Â Packt
- Probabilistic Graphical Models 1: Representation:Â Stanford University
- Advanced ML Algorithms & Unsupervised Learning:Â Packt