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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.


Popular Applied Machine Learning Courses and Certifications


  • C

    Coursera

    Scikit-Learn to Solve Regression Machine Learning Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Machine Learning, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • B

    Board Infinity

    Blockchain Technology Applied

    Skills you'll gain: Blockchain, User Interface and User Experience (UI/UX) Design, Cryptography, Secure Coding, Application Security, Web Development Tools, React Redux, Encryption, User Experience Design, Key Management, Application Design, Cryptographic Protocols, Application Development, Web Applications, Software Development Tools, Legal Technology, Vulnerability Assessments, Frontend Integration, Data Security, Program Development

    Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    IBM Applied DevOps Engineering

    Skills you'll gain: User Story, Cloud Deployment, CI/CD, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Application Deployment, Test Driven Development (TDD), Kubernetes, Gherkin (Scripting Language), Jenkins, Agile Software Development, Scrum (Software Development), Code Coverage, OpenShift, DevOps, Secure Coding, Grafana, System Monitoring, Agile Methodology

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • N

    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Deep Learning, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning in the Enterprise - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Data Management, Google Cloud Platform, Workflow Management, Model Deployment, AI Workflows, Data Pipelines, Model Evaluation, Feature Engineering, Machine Learning, Predictive Analytics

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Game Development, Data Science, and Machine Learning

    Skills you'll gain: Predictive Modeling, Data Preprocessing, Data Visualization, Model Evaluation, Machine Learning Methods, Feature Engineering, Game Design, Data Science, Animation and Game Design

    Intermediate · Course · 3 - 6 Months

  • N

    Northeastern University

    Machine Learning and Data Analytics Part 1

    Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Supervised Learning, Project Implementation

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Octave for Machine Learning: Data Analysis Mastery

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Programming Principles, Data Visualization, Descriptive Statistics, Mathematical Software, File I/O, Software Installation, Numerical Analysis, Mathematical Modeling, Predictive Modeling, Python Programming, Data Analysis

    Beginner · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Español

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Management, Application Lifecycle Management, DevOps, Model Evaluation, Cloud Deployment, AI Workflows, Continuous Deployment, Continuous Integration, Automation

    Intermediate · Course · 1 - 4 Weeks

  • M

    McMaster University

    Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential

    Skills you'll gain: Lifelong Learning, Willingness To Learn, Learning Strategies, Growth Mindedness, Mentorship, Adaptability, Professional Development, Personal Development, Productivity, Professional Networking, Resilience, Stress Management, Curiosity, Cognitive flexibility

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • S

    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Blockchain Technology Applied: Board Infinity
  • IBM Applied DevOps Engineering: IBM
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Machine Learning in the Enterprise - Português Brasileiro: Google Cloud
  • Game Development, Data Science, and Machine Learning: Packt
  • Machine Learning and Data Analytics Part 1: Northeastern University
  • Octave for Machine Learning: Data Analysis Mastery: EDUCBA
  • Machine Learning Operations (MLOps): Getting Started - Español: Google Cloud
  • Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential: McMaster University

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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