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  • Workflow Of Machine Learning Projects

Results for "workflow of machine learning projects"


  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

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

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation

    ★ 4.3 (178) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Automate, Validate, and Promote ML Models Safely

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Data Ethics, Model Deployment, Model Training, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis, Analysis

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Machine Learning, Python Programming

    ★ 3.5 (56) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Build your first Machine Learning Pipeline using Dataiku

    Skills you'll gain: Model Training, Data Import/Export, Model Evaluation, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Data Pipelines, Machine Learning Software, Data Preprocessing, Data Analysis, Machine Learning, Predictive Analytics

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

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Training, Cloud Deployment, DevOps, Model Evaluation, AI Workflows, Automation, Devops Tools, Continuous Delivery, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Model Optimization, Model Training, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Machine Learning Algorithms, Classification Algorithms, Design Thinking, Python Programming

    ★ 4.4 (80) · Advanced · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    AI Agents and MLOps for Production-Ready AI

    Skills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Agentic Workflows, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, Devops Tools, BeeAI, Docker (Software), Cloud Deployment, Agentic systems, Google Cloud Platform, Cloud Platforms, Kubernetes, Applied Machine Learning, Scalability

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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

    ★ 4.6 (19) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • M

    Microsoft

    Microsoft Azure for AI and Machine Learning

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), AI Integrations, Model Training, Cloud Deployment, Data Pipelines, AI Workflows, AI Security, Data Preprocessing, CI/CD, Continuous Monitoring, Identity and Access Management, Version Control, Data Storage

    ★ 4.6 (25) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • M

    Microsoft

    Build and Operate Machine Learning Solutions with Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Store, Databricks, Cloud Management, Cloud Computing, Applied Machine Learning, Model Deployment, Data Pipelines, Model Training, Data Preprocessing, Model Optimization, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Data Security

    ★ 3.7 (71) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…678…834

In summary, here are 10 of our most popular workflow of machine learning projects courses

  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Automate, Validate, and Promote ML Models Safely: Coursera
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Build your first Machine Learning Pipeline using Dataiku : Coursera
  • Machine Learning Operations (MLOps): Getting Started - Português Brasileiro: Google Cloud
  • Automate, Optimize, and Monitor ML Models: Coursera
  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • AI Agents and MLOps for Production-Ready AI: Packt
  • Scikit-Learn For Machine Learning Classification Problems: Coursera

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