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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


  • Status: New
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    EDUCBA

    Master AI Tools & Robotics: Analyze, Automate, Innovate

    Skills you'll gain: Robotic Process Automation, Customer experience improvement, ChatGPT, Data Science, Machine Learning Methods

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Meta

    Meta Back-End Developer

    Skills you'll gain: Full-Stack Web Development, Version Control, Restful API, Data Structures, Unix Commands, Bootstrap (Front-End Framework), Git (Version Control System), API Testing, Back-End Web Development, Django (Web Framework), Relational Databases, Front-End Web Development, Object Oriented Programming (OOP), Database Management Systems, HTML and CSS, Unit Testing, Algorithms, Python Programming, Computer Programming, Cloud Hosting

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    9.8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    EDUCBA

    Master AI & AWS Cloud Skills: Analyze, Build, Deploy

    Skills you'll gain: AWS SageMaker, Responsible AI, Artificial Intelligence, Machine Learning, Prompt Engineering, Amazon Web Services, Model Deployment, Supervised Learning, Computer Vision, Image Analysis, Model Evaluation, Unsupervised Learning, Data Preprocessing, Natural Language Processing, Deep Learning, Reinforcement Learning

    Beginner · Course · 1 - 4 Weeks

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    Edureka

    Introduction to LLMs and Hugging Face

    Skills you'll gain: Hugging Face, LLM Application, LangChain, Large Language Modeling, OpenAI, Natural Language Processing, Generative AI Agents, ChatGPT, Responsible AI, Embeddings, Application Programming Interface (API), Text Mining, Restful API, Agentic systems, Open Source Technology, Data Preprocessing, MLOps (Machine Learning Operations), Python Programming, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Generative AI Foundations in Python

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Responsible AI, Model Deployment, Large Language Modeling, Generative Adversarial Networks (GANs), Natural Language Processing, Embeddings, Transfer Learning, Artificial Intelligence, Python Programming, Machine Learning, Deep Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Johns Hopkins University

    A Crash Course in Data Science

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
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    8.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Michigan

    Python 3 Programming

    Skills you'll gain: JSON, Computer Vision, Application Programming Interface (API), Image Analysis, Unit Testing, Object Oriented Programming (OOP), Data Processing, Restful API, Debugging, Object Oriented Design, Jupyter, Programming Principles, Web Scraping, Python Programming, Computer Programming, Data Import/Export, Integrated Development Environments, Data Manipulation, Data Structures, Functional Design

    4.8
    Rating, 4.8 out of 5 stars
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    23K reviews

    Beginner · Specialization · 3 - 6 Months

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    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
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    734 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Bioinformatics, Mathematical Modeling, Physiology, Recurrent Neural Networks (RNNs), Biology, Linear Algebra, Statistical Methods, Information Architecture, Differential Equations, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

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    Meta

    Meta Front-End Developer

    Skills you'll gain: User Research, Cascading Style Sheets (CSS), User Experience, Design Research, Linux Commands, Usability, Debugging, User Interface (UI), Command-Line Interface, Software Visualization, Web Content Accessibility Guidelines, Pseudocode, User Interface and User Experience (UI/UX) Design, Web Design and Development, Javascript, Web Applications, Event-Driven Programming, Unit Testing, JavaScript Frameworks, API Design

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    24K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    Status: AI skills
    AI skills
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    Microsoft

    Microsoft Power BI Data Analyst

    Skills you'll gain: Power BI, Microsoft Excel, Data Analysis, Microsoft Power Platform, Data Integrity, Data Visualization, Data Storage, Data Collection, Data Quality, Business Intelligence, Data Manipulation, Data Management, Business Analytics, Timelines, Data Security, Database Design, Statistical Reporting, Microsoft Azure, Advanced Analytics, SQL

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    8.9K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    Coursera

    Quantitative Finance & Risk Modeling

    Skills you'll gain: Financial Modeling, Descriptive Statistics, Data Literacy, Financial Forecasting, Reconciliation, Financial Analysis, A/B Testing, Portfolio Risk, Model Evaluation, Data Cleansing, Decision Tree Learning, Regression Analysis, Exploratory Data Analysis, Predictive Modeling, Data Analysis, Risk Analysis, Risk Management, R Programming, Statistical Analysis, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

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

  • Master AI Tools & Robotics: Analyze, Automate, Innovate: EDUCBA
  • Meta Back-End Developer: Meta
  • Master AI & AWS Cloud Skills: Analyze, Build, Deploy: EDUCBA
  • Introduction to LLMs and Hugging Face: Edureka
  • Generative AI Foundations in Python: Packt
  • A Crash Course in Data Science: Johns Hopkins University
  • Python 3 Programming: University of Michigan
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Computational Neuroscience: University of Washington
  • Meta Front-End Developer: Meta

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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