Results for "data cleaning and preprocessing for ml"
Status: NewStatus: Free TrialSkills you'll gain: Data Cleansing, Pandas (Python Package), Financial Data, Data Wrangling, Data Transformation, Data Preprocessing, Data Quality, Data Manipulation, Data Validation, Jupyter, Data Integrity, Exploratory Data Analysis, Data Import/Export, Descriptive Statistics
Status: NewStatus: Free TrialSkills you'll gain: Data Preprocessing, Data Pipelines, Java, Data Processing, Feature Engineering, Data Cleansing, Data Quality, Data Transformation, Data Validation, Data Access, Continuous Monitoring, Unit Testing, Object Oriented Programming (OOP)
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Systems Design, MLOps (Machine Learning Operations), Transfer Learning, Deep Learning, Model Evaluation, Data Preprocessing, Applied Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Data Pipelines, Software Engineering, Supervised Learning, Predictive Modeling, Python Programming, Performance Metric, Data Quality, Debugging, Git (Version Control System), Data Validation, Statistical Analysis
Status: Free TrialDuke University
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis
Status: Free TrialDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Data Preprocessing, Machine Learning, Machine Learning Methods
What brings you to Coursera today?
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Unit Testing, Test Driven Development (TDD), Software Testing, Scalability, Dashboard, MLOps (Machine Learning Operations), Testability, Kubernetes, Version Control, Model Deployment, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Tensorflow, CI/CD, Containerization, Docker (Software), Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming
Status: NewStatus: Free TrialSkills you'll gain: Verification And Validation, Data Pipelines
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Natural Language Processing, Data Wrangling, Data Pipelines
Status: NewStatus: Free TrialSkills you'll gain: Data Cleansing, Data Quality, Clinical Data Management, Health Informatics, Patient Safety, Data Transformation, Data Preprocessing, Data Validation, Exploratory Data Analysis, Data-Driven Decision-Making, Descriptive Statistics, Statistical Analysis, Text Mining, Data Visualization, Microsoft Excel, Anomaly Detection
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Development Methodologies, Software Versioning, Release Management, Continuous Delivery, PyTorch (Machine Learning Library), Performance Improvement, Software Testing
Status: NewStatus: Free TrialSkills you'll gain: Model Evaluation, Data Preprocessing, JUnit, Build Tools, Java Programming, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning
In summary, here are 10 of our most popular data cleaning and preprocessing for ml courses
- Data Cleaning with Python for Finance: Coursera
- Parse & Normalize Data for ML Pipelines: Coursera
- ML Model Training & Validation: Coursera
- MLOps | Machine Learning Operations: Duke University
- Automate, Validate, and Promote ML Models Safely: Coursera
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- ML Production Systems: Coursera
- Automate, Optimize, and Monitor ML Models: Coursera
- NLP: Fine-Tune & Preprocess Text: Coursera
- Transform Healthcare Data: Cleanse and Evaluate: Coursera
