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  • Applied Machine Learning

Applied Machine Learning Courses

Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.


More to explore:

Popular Applied Machine Learning Courses and Certifications


  • Status: New
    New
    Status: Free Trial
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    Vanderbilt University

    Generative AI Software Engineering

    Skills you'll gain: Claude Code, Prompt Engineering, ChatGPT, Generative AI Agents, Prompt Patterns, Generative AI, Multimodal Prompts, AI Workflows, AI Orchestration, LLM Application, Productivity, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Software Engineering, Software Development Tools, Software Development, Software Architecture, Automation, Software Testing, Software Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Packt

    AI Ecosystem for the Absolute Beginners - Hands-On

    Skills you'll gain: Amazon Bedrock, Model Evaluation, Data Preprocessing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exploratory Data Analysis in AWS

    Skills you'll gain: AWS Kinesis, Amazon Redshift, Data Preprocessing, Data Analysis, Real Time Data, Applied Machine Learning, Data Pipelines, Data Processing, Extract, Transform, Load, Exploratory Data Analysis, Amazon S3, Data Sharing, Data Visualization Software, Data Transformation, Machine Learning, Data Management

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Big Data, Artificial Intelligence, and Ethics

    Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Natural Language Processing, Big Data, AI Enablement, Research Methodologies, Social Sciences, Applied Machine Learning, Responsible AI, Analytics, Machine Learning, Data Mining, Ethical Standards And Conduct, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    688 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of California San Diego

    Python Data Products for Predictive Analytics

    Skills you'll gain: Model Evaluation, Model Deployment, Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Predictive Analytics, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Data Visualization, Design Thinking, Web Scraping, Machine Learning Algorithms, Flask (Web Framework), Data Visualization Software, Data Validation, Machine Learning, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
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    249 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Packt

    Building and Training Neural Networks with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Applied Machine Learning, Image Analysis, Model Evaluation, Artificial Neural Networks, Computer Vision, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    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, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    76 reviews

    Advanced · Course · 1 - 4 Weeks

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    IBM

    Generative AI Advance Fine-Tuning for LLMs

    Skills you'll gain: Generative AI, Large Language Modeling, Natural Language Processing, Model Evaluation, Reinforcement Learning, Machine Learning, Probability Distribution

    4.3
    Rating, 4.3 out of 5 stars
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    117 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    AI & Quantum Computing – Zero to Expert Bootcamp

    Skills you'll gain: Reinforcement Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Tensorflow, Machine Learning, Artificial Intelligence, Artificial Neural Networks, Computer Science, Algorithms, Data Processing, Python Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Status: AI skills
    AI skills
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    IBM

    IBM DevOps and Software Engineering

    Skills you'll gain: Cloud Deployment, CI/CD, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Agile Software Development, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Kubernetes, Restful API, Git (Version Control System), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    64K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
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    185 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    A

    AI CERTs

    AI For Data Analysts

    Skills you'll gain: Agentic systems, Responsible AI, Data Pipelines, Law, Regulation, and Compliance, Data Ethics, Model Evaluation, Information Privacy, Data Processing, AI Workflows, Data Analysis, No-Code Development, Analytical Skills, Machine Learning, Artificial Intelligence, Real Time Data, Ethical Standards And Conduct, Machine Learning Algorithms, Data Collection

    Intermediate · Course · 1 - 3 Months

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

  • Generative AI Software Engineering: Vanderbilt University
  • AI Ecosystem for the Absolute Beginners - Hands-On: Packt
  • Exploratory Data Analysis in AWS: Whizlabs
  • Big Data, Artificial Intelligence, and Ethics: University of California, Davis
  • Python Data Products for Predictive Analytics: University of California San Diego
  • Building and Training Neural Networks with PyTorch: Packt
  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • Generative AI Advance Fine-Tuning for LLMs : IBM
  • AI & Quantum Computing – Zero to Expert Bootcamp: Packt
  • IBM DevOps and Software Engineering: IBM

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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