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  • Random Forest Algorithm

Results for "random forest algorithm"


  • C

    Coursera

    Choose Cost-Effective ML Algorithms Fast

    Skills you'll gain: Model Training, Benchmarking, Decision Intelligence, Resource Utilization, Cost Estimation, Resource Consumption Accounting, Memory Management, Run Chart, Analysis, Cost Management

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • B

    Board Infinity

    Building Real-Time ML Systems: APIs, Models, and Deployment

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Real Time Data, Containerization, Docker (Software), CI/CD, Model Training, Applied Machine Learning, Feature Engineering, Model Evaluation, Cloud Deployment, Model Optimization, Predictive Modeling, Web Scraping, Data Pipelines, Time Series Analysis and Forecasting, Exploratory Data Analysis, Spatial Data Analysis, Machine Learning, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
  • B

    Birla Institute of Technology & Science, Pilani

    Algorithm Design: Mastering Computational Problem Solving

    Skills you'll gain: Computer Science, Computer Programming, Solution Design, Problem Solving, Mathematical Theory & Analysis

    Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Classification Algorithms, Autoencoders, Predictive Modeling, Model Optimization

    Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • A

    Alberta Machine Intelligence Institute

    Optimizing Machine Learning Performance

    Skills you'll gain: Responsible AI, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, Model Optimization, Business Operations, Machine Learning, Ethical Standards And Conduct, Operational Performance Management, Applied Machine Learning, Business Strategy, Risk Mitigation, Systems Integration, Stakeholder Communications

    4.4 stars, 54 reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.4 (54) · Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Tensorflow, Cloud Computing, Statistical Machine Learning, Machine Learning Software, Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Python Programming, Model Training, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Model Optimization, Scientific Visualization

    4.6 stars, 162 reviews, Intermediate, Guided Project, Less Than 2 Hours

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

  • U

    University of California San Diego

    Deploying Machine Learning Models

    Skills you'll gain: Model Deployment, Data Manipulation, MLOps (Machine Learning Operations), Web Frameworks, Model Evaluation, Applied Machine Learning, Flask (Web Framework), Data Preprocessing, Django (Web Framework), Web Applications, Model Optimization, Data Cleansing, AI Personalization, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Python Programming

    3.6 stars, 54 reviews, Mixed, Course, 1 - 3 Months

    ★ 3.6 (54) · Mixed · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • 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

    4.5 stars, 20 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.5 (20) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • 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 stars, 10 reviews, Beginner, Guided Project, Less Than 2 Hours

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

  • 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 stars, 26 reviews, Intermediate, Guided Project, Less Than 2 Hours

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

  • U

    University of Pennsylvania

    Intro to Predictive Analytics Using Python

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Model Evaluation, Predictive Modeling, Predictive Analytics, Advanced Analytics, Decision Tree Learning, Supervised Learning, Applied Machine Learning, Model Training, Forecasting, Random Forest Algorithm, Analytics, Data Analysis, Regression Analysis, Machine Learning, Logistic Regression, Python Programming

    Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
1…789…208

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

  • Choose Cost-Effective ML Algorithms Fast: Coursera
  • Building Real-Time ML Systems: APIs, Models, and Deployment: Board Infinity
  • Algorithm Design: Mastering Computational Problem Solving: Birla Institute of Technology & Science, Pilani
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Optimizing Machine Learning Performance: Alberta Machine Intelligence Institute
  • Support Vector Machines in Python, From Start to Finish: Coursera
  • Deploying Machine Learning Models: University of California San Diego
  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Machine Learning with PySpark: Recommender System: Coursera
  • Diabetes Disease Detection with XG-Boost and Neural Networks: Coursera

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