Results for "cross validation"
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
Status: NewStatus: Free TrialCoursera
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
Status: New
Status: NewStatus: Free TrialSkills you'll gain: Model Training, Model Optimization, Model Evaluation, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Feature Engineering, Workflow Management, Verification And Validation, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization
Status: NewStatus: Free TrialSkills 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
Status: Free TrialSkills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Model Optimization, Predictive Analytics, Classification Algorithms
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Generative AI Agents, Keras (Neural Network Library), Fine-tuning, Model Training, Machine Learning Methods, Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, AI Orchestration, Application Deployment, Feature Engineering
Status: New
Status: NewStatus: Free TrialSkills you'll gain: Image Analysis, Model Optimization, Quality Assurance, Quality Assessment, Packaging and Labeling, Verification And Validation, Unsupervised Learning, Data Pipelines
Status: NewStatus: Free TrialSkills 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
Status: NewStatus: Free TrialSkills you'll gain: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning
Status: NewStatus: Free TrialSkills 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
In summary, here are 10 of our most popular cross validation courses
- Classification Trees in Python, From Start To Finish:Â Coursera
- ML Model Training & Validation:Â Coursera
- Performance measures and validation methods:Â 28DIGITAL
- Building, Optimizing, and Validating Machine Learning Models:Â Coursera
- Build Predictive & Supervised Models:Â Coursera
- Machine Learning with Python:Â IBM
- AI Engineer Associate:Â Packt
- Problem-Dependent Resampling Techniques:Â 28DIGITAL
- Annotate and Analyze Objects for Vision:Â Coursera
- Automate, Analyze, and Validate Data Quality:Â Coursera
