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  • Random Forest Model

Results for "random forest model"


  • C

    Coursera

    Predictive Analytics for Business with H2O in R

    Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Predictive Modeling, Data Pipelines, R (Software), Data-Driven Decision-Making, Analytics, Business Analytics, Data Science, Machine Learning Software, Feature Engineering, Data Preprocessing, Machine Learning Methods, Machine Learning, Model Training, Telemarketing, Model Deployment, Model Optimization

    ★ 4.9 (53) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: Model Training, Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Feature Engineering, Statistical Machine Learning, Responsible AI, Regression Analysis, Classification Algorithms, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Learn & Build Machine Learning Models with Python

    Skills you'll gain: Matplotlib, Data Visualization, NumPy, Pandas (Python Package), Model Evaluation, Plot (Graphics), Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Model Training, Machine Learning Methods, Machine Learning, Feature Engineering, Predictive Modeling, Data Wrangling, Applied Machine Learning, Supervised Learning, Data Processing, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    ★ 4.6 (19) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Model Training, Predictive Modeling, Supervised Learning, Statistical Modeling, Data Analysis, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Machine Learning Methods, Statistical Analysis, Data Preprocessing, Verification And Validation

    ★ 4.6 (14) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Model Training, Data Cleansing, Data Import/Export, Data Transformation, Apache Spark, Data-Driven Decision-Making, AI Enablement, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Machine Learning

    ★ 4.7 (26) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Predictive Modeling with Python: Apply & Evaluate

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Model Training, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Data Processing, Classification Algorithms, Statistical Analysis, Model Optimization

    Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Minnesota

    Introduction to Predictive Modeling

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Model Training, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Manipulation, Data Transformation, Feature Engineering, Statistical Modeling, Spreadsheet Software, Predictive Analytics, Model Optimization, Data Cleansing, Statistical Methods

    ★ 4.8 (144) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Optimize TensorFlow Models For Deployment with TensorRT

    Skills you'll gain: Keras (Neural Network Library), Model Optimization, Tensorflow, Deep Learning, Performance Tuning, Model Deployment, Python Programming

    ★ 4.5 (77) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Classification Trees in Python, From Start To Finish

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Evaluation, Model Training

    ★ 4.6 (233) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Random Processes

    Skills you'll gain: Probability & Statistics, Probability, Probability Distribution, Simulations, Statistical Modeling, Statistical Methods, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Diabetes Disease Detection with XG-Boost and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Scientific Visualization, Applied Machine Learning, Model Training, Classification Algorithms, Predictive Modeling, Deep Learning, Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Diagnostic Tests, Python Programming

    ★ 4.9 (10) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
1…456…413

In summary, here are 10 of our most popular random forest model courses

  • Predictive Analytics for Business with H2O in R: Coursera
  • Learn to Choose the Right ML Model: Coursera
  • Learn & Build Machine Learning Models with Python: EDUCBA
  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Predictive Modeling with Python: Apply & Evaluate: EDUCBA
  • Introduction to Predictive Modeling: University of Minnesota
  • Optimize TensorFlow Models For Deployment with TensorRT: Coursera
  • Classification Trees in Python, From Start To Finish: Coursera

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