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Explore the Random Forest Course Catalog
Coursera Project Network
Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning
University of Amsterdam
Skills you'll gain: Qualitative Research, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Statistical Inference, Statistical Analysis, Statistical Software, Probability Distribution, Research, Correlation Analysis, Research Design, Sampling (Statistics), Research Reports, Science and Research, Probability, Interviewing Skills, Data Analysis, Sample Size Determination, Statistical Methods, Social Sciences
Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Statistical Machine Learning, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Transformation, Statistical Analysis
Duke University
Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Computer Vision, Supervised Learning, Statistical Methods, Natural Language Processing, Predictive Modeling, Performance Metric
Wesleyan University
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Statistical Machine Learning, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Data Analysis, Data Science, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis
University of Amsterdam
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Statistical Software, Probability Distribution, Sampling (Statistics), Correlation Analysis, Probability, Sample Size Determination, Statistics, Regression Analysis, Statistical Inference
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, Data Analysis Software, Random Forest Algorithm
DeepLearning.AI
Skills you'll gain: Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms, Regression Analysis
Johns Hopkins University
Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Visualization, Datamaps, Data Cleansing, Interactive Data Visualization, Scatter Plots, Object Oriented Programming (OOP), GitHub, Version Control, Debugging, Functional Design
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Systems Development, Simulations, Solution Architecture, Feature Engineering, Markov Model, Supervised Learning, Artificial Neural Networks, Performance Testing, Applied Machine Learning, Algorithms, Pseudocode, Linear Algebra, Probability Distribution
University of California, Santa Cruz
Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Data Analysis, Probability, Statistical Methods, Statistical Analysis, Advanced Analytics, Markov Model, Mathematical Modeling, Microsoft Excel, Probability Distribution, Probability & Statistics, Unsupervised Learning, Regression Analysis, Predictive Modeling
University of Washington
Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Methods, Dimensionality Reduction, Data Manipulation, Algorithms
In summary, here are 10 of our most popular random forest courses
- Scikit-Learn For Machine Learning Classification Problems: Coursera Project Network
- Methods and Statistics in Social Sciences: University of Amsterdam
- Scalable Machine Learning on Big Data using Apache Spark: IBM
- Machine Learning Foundations for Product Managers: Duke University
- Machine Learning for Data Analysis: Wesleyan University
- Basic Statistics: University of Amsterdam
- Introduction to Machine Learning in Sports Analytics: University of Michigan
- Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
- Mastering Software Development in R: Johns Hopkins University
- Reinforcement Learning: University of Alberta