Results for "cross+validation"
Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Statistical Machine Learning, Model Optimization, Statistical Modeling, Performance Testing, Machine Learning, Statistics, Predictive Modeling, Analysis, Verification And Validation, Statistical Analysis, Data Analysis, Data-Driven Decision-Making, Classification Algorithms
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
Coursera
Skills you'll gain: A/B Testing, Email Marketing, Test Planning, Strategic Planning, Data-Driven Marketing, Campaign Management, Content Optimization, Performance Analysis, Program Development, Performance Improvement, Data-Driven Decision-Making, Data Analysis
Skills you'll gain: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning
John Wiley & Sons
Skills you'll gain: Supervised Learning, Statistical Methods, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Data Processing, Data Quality, Model Deployment, Data Transformation, Machine Learning Methods, Image Analysis, Statistics, Statistical Machine Learning, Data Analysis, Data Science, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Computer Vision, Machine Learning Algorithms
What brings you to Coursera today?
Skills you'll gain: Apache Airflow, Data Governance, Data Management, Apache Spark, PySpark, Databricks, Record Keeping
Skills you'll gain: Machine Learning Methods, Predictive Modeling, Model Training, Statistical Machine Learning, Machine Learning Software, Model Optimization, Performance Analysis, Performance Metric, Performance Improvement
Skills you'll gain: Data Validation, Data Quality, Data Governance, Data Integrity, Data Pipelines, Verification And Validation, Test Automation, SQL, Failure Analysis, Scalability, Root Cause Analysis, Metadata Management, Analytical Skills, Statistical Analysis
Skills you'll gain: Verification And Validation, Release Management, Maintainability, Experimentation, Performance Testing, Benchmarking, Performance Analysis
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
Skills you'll gain: Data Validation, Data Integrity, Data Maintenance, Data Transformation, Data Quality, Data Warehousing, Extract, Transform, Load, Reconciliation, Code Reusability
In summary, here are 10 of our most popular cross+validation courses
- ML Model Training & Validation:Â Coursera
- Performance measures and validation methods:Â 28DIGITAL
- Problem-Dependent Resampling Techniques:Â 28DIGITAL
- Run Smart A/B Tests:Â Coursera
- Validate and Explain Your ML Models:Â Coursera
- CompTIA DataX Study Guide:Â John Wiley & Sons
- Engineer, Validate, and Govern ML Data:Â Coursera
- Optimize AI: Build & Evaluate Predictive Models:Â Coursera
- Automate, Analyze, and Validate Data Quality:Â Coursera
- Validate, Analyze, and Monitor ML Models:Â Coursera
