Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "random forests"
- 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
École Polytechnique
Skills you'll gain: Probability, Probability Distribution, Statistical Methods, Sampling (Statistics), Simulations, Statistical Inference, Statistical Modeling
Coursera Project Network
Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Six Sigma Methodology, Box Plots, R Programming, Probability Distribution, Statistics, Data Science
- Status: Free Trial
Edureka
Skills you'll gain: Probability Distribution, Predictive Modeling, Exploratory Data Analysis, Statistical Methods, Statistical Inference, Data Analysis, Predictive Analytics, Statistical Analysis, Probability & Statistics, Statistical Hypothesis Testing, Descriptive Statistics, Data Cleansing, Data Manipulation, Regression Analysis, Feature Engineering, Data Processing, Machine Learning
National Taiwan University
Skills you'll gain: Statistical Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Decision Tree Learning, Deep Learning, Feature Engineering, Unsupervised Learning, Artificial Neural Networks, Regression Analysis
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, Machine Learning, Statistical Modeling, Performance Tuning
Clemson University
Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Computational Thinking, Applied Mathematics, Combinatorics, Performance Testing, Computer Science, Computer Programming, Design Strategies, Probability, Probability Distribution
EIT Digital
Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Theoretical Computer Science, Linear Algebra
- Status: Free Trial
University of Colorado Boulder
Skills you'll gain: Pandas (Python Package), Data Wrangling, NumPy, Data Visualization, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Transformation, Data Quality, Exploratory Data Analysis, Data Integration, Programming Principles, Python Programming, Scripting
Skills you'll gain: 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 Michigan
Skills you'll gain: Data Quality, Data Cleansing, Data Collection, Data Validation, Data Analysis, Data Processing, Threat Detection, Data Access, Sampling (Statistics)
- Status: NewStatus: Free Trial
Skills you'll gain: Supervised Learning, Data Modeling, Data Analysis, Regression Analysis, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Predictive Analytics, Random Forest Algorithm, Bayesian Statistics
Searches related to random forests
In summary, here are 10 of our most popular random forests courses
- Python Programming for Quantum Computing: Packt
- Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
- RStudio for Six Sigma - Basic Descriptive Statistics: Coursera Project Network
- Predictive Modeling with Python : Edureka
- 機器學習技法 (Machine Learning Techniques): National Taiwan University
- Tidymodels in R: Building tidy machine learning models: Coursera Project Network
- Design and Analysis of Algorithms: Clemson University
- Approximation Algorithms: EIT Digital
- Fundamental Tools of Data Wrangling: University of Colorado Boulder
- Regression Analysis for Statistics & Machine Learning in R: Packt