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  • Cross Validation

Results for "cross validation"


  • Status: New
    New
    2

    28DIGITAL

    Supervised machine learning and performance evaluation

    Skills you'll gain: Model Training, Machine Learning Methods, Predictive Modeling, Applied Machine Learning, Machine Learning Algorithms, Probability Distribution, Machine Learning, Analytics, Data Analysis, Analysis, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Engineer, Validate, and Govern ML Data

    Skills you'll gain: Apache Airflow, Data Governance, Data Management, Apache Spark, PySpark, Databricks, Record Keeping

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Analysis with Python Project

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Data Mining, Predictive Modeling, Model Evaluation, Regression Analysis, Decision Tree Learning, Statistical Methods, Project Planning, Logistic Regression

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Validate, Analyze, and Monitor ML Models

    Skills you'll gain: Verification And Validation, Release Management, Maintainability, Experimentation, Performance Testing, Benchmarking, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Regression Analysis

    Skills you'll gain: Regression Analysis, Supervised Learning, Model Evaluation, Statistical Analysis, Model Training, Statistical Machine Learning, Data Analysis, Statistical Modeling, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Statistical Methods, Model Optimization

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    2

    28DIGITAL

    Problem-Dependent Resampling Techniques

    Skills you'll gain: Spatial Analysis, Spatial Data Analysis, Model Evaluation, Statistical Methods, Statistical Hypothesis Testing, Sampling (Statistics), Feature Engineering, Dependency Analysis, Drug Interaction, Analysis, Sample Size Determination, Analytics, Applied Machine Learning, Correlation Analysis, Data Synthesis, Machine Learning, Analytical Skills, Data Processing, Machine Learning Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Predict and Validate Regression Models in R

    Skills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, R Programming, Financial Forecasting, Statistical Methods, Model Training, Data Validation, Verification And Validation, Plot (Graphics), Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Validate and Track Data History Confidently

    Skills you'll gain: Data Validation, Data Integrity, Data Maintenance, Data Transformation, Data Quality, Data Warehousing, Extract, Transform, Load, Reconciliation, Code Reusability

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate and Evaluate ML Pipeline Tests

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Regression Testing, Unit Testing, Test Script Development, Test Case, System Testing, Test Automation, Software Testing, Integration Testing, Verification And Validation, Anomaly Detection, Data Integrity, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Build & Evaluate Decision Trees for ML

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Classification Algorithms, Model Training, Applied Machine Learning, Java, Java Programming, Model Optimization, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Fine-tuning, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Algorithms

    Advanced · Course · 1 - 4 Weeks

1234…156

In summary, here are 10 of our most popular cross validation courses

  • Supervised machine learning and performance evaluation: 28DIGITAL
  • Engineer, Validate, and Govern ML Data: Coursera
  • Data Analysis with Python Project : University of Colorado Boulder
  • Build Predictive & Supervised Models: Coursera
  • Validate, Analyze, and Monitor ML Models: Coursera
  • Regression Analysis: University of Colorado Boulder
  • Applied Machine Learning in Python: University of Michigan
  • Problem-Dependent Resampling Techniques: 28DIGITAL
  • Predict and Validate Regression Models in R: Coursera
  • Validate and Track Data History Confidently: Coursera

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