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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
    New
    Status: Free Trial
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    EDUCBA

    Machine Learning with Python: Diabetes Prediction

    Skills you'll gain: Jupyter, Data Transformation, Logistic Regression, Machine Learning Methods, Health Informatics, Applied Machine Learning, Data Preprocessing, Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Predictive Analytics, Analytics, Classification Algorithms, Pandas (Python Package), Software Installation

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Packt

    Foundations of Machine Learning with Azure

    Skills you'll gain: Data Preprocessing, Model Deployment, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Data Cleansing, Supervised Learning, Data Transformation, Model Evaluation, Data Quality

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    H

    HRCI

    Learning and Development

    Skills you'll gain: Training and Development, Training Programs, Employee Training, Developing Training Materials, Adult Education, Employee Engagement, Compliance Training, Instructional Design, Workforce Development, On-The-Job Training, Needs Assessment, Program Evaluation, Professional Development, Learning Styles

    4.8
    Rating, 4.8 out of 5 stars
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    802 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Production Machine Learning Systems - Français

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Model Evaluation, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Performance Tuning, Data Pipelines, Scalability

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
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    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    University of Colorado System

    Applied Cryptography

    Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Public Key Cryptography Standards (PKCS), Brute-force attacks, Key Management, Advanced Encryption Standard (AES), Encryption, Data Integrity, Information Systems Security, Cybersecurity, Authentications, Information Assurance, Data Security, Theoretical Computer Science, Computational Logic, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    907 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Model Deployment, Data Ethics, Data Preprocessing, Machine Learning, Computer Programming, Model Evaluation, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
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    159 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
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    64 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Titanic Survival Prediction Using Machine Learning

    Skills you'll gain: Feature Engineering, Data Cleansing, Data Visualization, Data Preprocessing, Logistic Regression, Predictive Modeling, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Classification Algorithms, Data Science, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
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    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
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    15 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Applied Bioinformatics

    Skills you'll gain: Bioinformatics, Diagnostic Tests, Model Evaluation, Molecular Biology, Infectious Diseases, Informatics, Network Analysis, Medical Science and Research, Computational Thinking, Biochemistry, Data Mining, Scientific Visualization, Life Sciences, Tree Maps, Microbiology, Biology, Data Analysis Software, Pharmacology, Science and Research

    4.4
    Rating, 4.4 out of 5 stars
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    66 reviews

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
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    24 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Machine Learning with Python: Diabetes Prediction: EDUCBA
  • Foundations of Machine Learning with Azure: Packt
  • Learning and Development: HRCI
  • Production Machine Learning Systems - Français: Google Cloud
  • Data Science: Statistics and Machine Learning: Johns Hopkins University
  • Applied Cryptography: University of Colorado System
  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Titanic Survival Prediction Using Machine Learning: Coursera
  • Interpretable Machine Learning Applications: Part 4: Coursera

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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