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    • Applied Machine Learning

    Applied Machine Learning Courses Online

    Explore applied machine learning for practical applications. Learn to implement models using scikit-learn, TensorFlow, and real-world datasets.

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    Explore the Applied Machine Learning Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Data Wrangling, Unsupervised Learning, Flask (Web Framework), Keras (Neural Network Library), Generative AI Agents, Feature Engineering, Predictive Modeling, Web Applications, Supervised Learning, PyTorch (Machine Learning Library), Deep Learning, Exploratory Data Analysis, Web Development, Data Manipulation, Natural Language Processing, Unit Testing, Jupyter

      4.6
      Rating, 4.6 out of 5 stars
      ·
      91K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Convolutional Neural Networks

      Skills you'll gain: Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Data Processing, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      43K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Foundations of AI and Machine Learning

      Skills you'll gain: Data Management, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, MLOps (Machine Learning Operations), Version Control, Data Quality, Data Cleansing, Data Security, Application Frameworks, Data Pipelines, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      151 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      M

      McMaster University

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

      Skills you'll gain: Lifelong Learning, Learning Strategies, Adaptability, Growth Mindedness, Productivity, Personal Development, Mentorship, Professional Development, Cognitive flexibility, Resilience, Self-Motivation, Overcoming Obstacles, Time Management

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N
      G
      N
      G

      Multiple educators

      Machine Learning for Trading

      Skills you'll gain: Tensorflow, Supervised Learning, Reinforcement Learning, Keras (Neural Network Library), Time Series Analysis and Forecasting, Financial Trading, Machine Learning, Google Cloud Platform, Statistical Machine Learning, Portfolio Management, Securities Trading, Data Pipelines, Deep Learning, Regression Analysis, Artificial Neural Networks, Market Trend, Technical Analysis, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Financial Market

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • C

      Coursera Project Network

      Scikit-Learn For Machine Learning Classification Problems

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Deep Learning & Neural Networks with Keras

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Unsupervised Learning, Machine Learning, Computer Vision, Natural Language Processing, Anomaly Detection, Image Analysis, Regression Analysis, Network Architecture

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Breast Cancer Prediction Using Machine Learning

      Skills you'll gain: Scikit Learn (Machine Learning Library), Data Cleansing, Data Processing, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Data Import/Export, Supervised Learning, Google Workspace, Pandas (Python Package), Machine Learning, Machine Learning Algorithms, Data Mining, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      49 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Linux Commands, GitHub, Software Architecture, Flask (Web Framework), Bash (Scripting Language), Development Environment, Git (Version Control System), Version Control, Software Design, Software Engineering, Shell Script, Web Applications, Linux, Software Development Methodologies, Software Design Patterns, Web Development, Jupyter, Web Scraping, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      49K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Engineering Foundations

      Skills you'll gain: SQL, Web Scraping, Extract, Transform, Load, Database Design, MySQL, Relational Databases, Database Systems, Data Transformation, Big Data, IBM DB2, Stored Procedure, Databases, Data Architecture, Database Management, Data Pipelines, Data Storage Technologies, Jupyter, PostgreSQL, Data Governance, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Intelligence, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: SQL, Statistical Hypothesis Testing, Relational Databases, Statistical Analysis, Dashboard, Descriptive Statistics, Jupyter, Data Visualization, Stored Procedure, Statistical Methods, Web Scraping, Probability Distribution, Probability & Statistics, Statistics, Regression Analysis, Data Analysis Software, Database Design, Data Visualization Software, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      73K reviews

      Beginner · Specialization · 3 - 6 Months

    Applied Machine Learning learners also search

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    1…789…493

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

    • IBM Generative AI Engineering: IBM
    • Convolutional Neural Networks: DeepLearning.AI
    • Foundations of AI and Machine Learning: Microsoft
    • Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential: McMaster University
    • Machine Learning for Trading: New York Institute of Finance
    • Scikit-Learn For Machine Learning Classification Problems: Coursera Project Network
    • Introduction to Deep Learning & Neural Networks with Keras: IBM
    • Breast Cancer Prediction Using Machine Learning: Coursera Project Network
    • Applied Software Engineering Fundamentals: IBM
    • Data Engineering Foundations: 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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