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Explore the Random Forest Course Catalog
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks
Skills you'll gain: Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Matplotlib, Classification And Regression Tree (CART), Machine Learning, Supervised Learning, Data Manipulation, Data Transformation, Python Programming, Programming Principles, Data Cleansing, Data Visualization Software, Pandas (Python Package), NumPy
DeepLearning.AI
Skills you'll gain: Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Regression Analysis, Performance Tuning
Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Predictive Modeling, Analytics, Unsupervised Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Decision Tree Learning, Performance Tuning, Python Programming
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Feature Engineering, Statistical Modeling, Sampling (Statistics), Performance Metric
Johns Hopkins University
Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Analysis
University of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Matplotlib, Statistical Machine Learning, Random Forest Algorithm, Predictive Modeling, Statistical Visualization, Python Programming, Data Science, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
University of Michigan
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Dimensionality Reduction, Random Forest Algorithm, Regression Analysis, Artificial Neural Networks
LearnQuest
Skills you'll gain: Random Forest Algorithm, Keras (Neural Network Library), Classification And Regression Tree (CART), Tensorflow, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Machine Learning, Performance Tuning, Python Programming
Coursera Project Network
Skills you'll gain: Machine Learning Algorithms, Dashboard, Interactive Data Visualization, Data Visualization Software, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Web Applications, Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Application Development, Pandas (Python Package)
Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Unstructured Data, Big Data, NumPy, Data Analysis, Natural Language Processing, Linear Algebra
Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Machine Learning, Machine Learning Algorithms, Calculus
In summary, here are 10 of our most popular random forest courses
- Machine Learning:Â DeepLearning.AI
- Machine Learning: Random Forest with Python from Scratch©: Packt
- Advanced Learning Algorithms:Â DeepLearning.AI
- The Nuts and Bolts of Machine Learning:Â Google
- Supervised Machine Learning: Classification:Â IBM
- Practical Machine Learning:Â Johns Hopkins University
- Machine Learning: Theory and Hands-on Practice with Python:Â University of Colorado Boulder
- Applied Machine Learning in Python:Â University of Michigan
- Neural Networks and Random Forests:Â LearnQuest
- Build a Machine Learning Web App with Streamlit and Python:Â Coursera Project Network