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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: Free Trial
    Free Trial
    W

    Whizlabs

    Data Science and Machine Learning Engineering on Microsoft Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Science, Machine Learning, Prompt Engineering Tools, Model Evaluation, Applied Machine Learning, Data Store, AI Workflows, Apache Spark, Data Strategy, Data Import/Export, Azure Synapse Analytics, Cloud Computing, Fine-tuning, Data Pipelines, Continuous Monitoring, Data Preprocessing, Scalability, Development Environment

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Applied Calculus with Python

    Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Graphing, Numerical Analysis, Python Programming, Mathematical Software, Algebra, Derivatives, Model Optimization

    4.9
    Rating, 4.9 out of 5 stars
    ·
    46 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Data Visualization, Plot (Graphics), Regression Analysis, Machine Learning Algorithms, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Statistical Methods, Probability & Statistics, Python Programming, Model Training, Statistical Programming

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    418 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Applied Python Data Engineering

    Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, GitHub Copilot, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    130 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of London

    Introduction to Applied Cryptography

    Skills you'll gain: Cryptography, Cryptographic Protocols, Application Security, Cybersecurity, Data Security, Encryption, Vulnerability Assessments, Information Systems Security, Key Management, Public Key Infrastructure, Mobile Security, Data Integrity

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    77 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Manage Features

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Model Training, Data Store, Data Preprocessing, Data Processing, Data Management, Data Storage Technologies

    4
    Rating, 4 out of 5 stars
    ·
    20 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    No-Code Machine Learning Using Amazon AWS SageMaker Canvas

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, No-Code Development, Model Training, Machine Learning, Supervised Learning, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment, Data Validation

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Applied Fundamentals: Hangman

    Skills you'll gain: Video Game Development, Game Design, Project Planning, User Interface (UI) Design, Program Development, User Interface (UI), Python Programming, Development Environment, Programming Principles, Maintainability, Computer Programming

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Italiano

    Skills you'll gain: Generative AI, Gemini, Google Gemini, MLOps (Machine Learning Operations), Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, AI Workflows, Artificial Intelligence, Model Training, Applied Machine Learning, Cloud Infrastructure, Machine Learning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

    Skills you'll gain: Model Optimization, Feature Engineering, Tensorflow, Model Deployment, Model Training, Google Cloud Platform, Data Quality, Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Keras (Neural Network Library), Data Strategy, Machine Learning, Machine Learning Methods, Embeddings, Cloud Deployment, Applied Machine Learning, AI Product Strategy, Responsible AI, Dataflow

    4.7
    Rating, 4.7 out of 5 stars
    ·
    92 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    MLOps in R: Deploying machine learning models using vetiver

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Continuous Deployment, Model Training, Tidyverse (R Package), R Programming, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Dashboard Creation, Docker (Software), Containerization, Application Programming Interface (API)

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Data Science and Machine Learning Engineering on Microsoft Azure: Whizlabs
  • Applied Calculus with Python: Johns Hopkins University
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Build a Machine Learning Web App with Streamlit and Python: Coursera
  • Applied Python Data Engineering: Duke University
  • Introduction to Applied Cryptography: University of London
  • Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud
  • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
  • Applied Fundamentals: Hangman: Packt
  • Introduction to AI and Machine Learning on GC - Italiano: Google Cloud

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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