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  • Classification Algorithms

Results for "classification algorithms"


  • U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Data Validation, Exploratory Data Analysis, A/B Testing, Analysis, User Feedback, Predictive Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    832 reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    292 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Feature Engineering

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Data Store, Real Time Data, Machine Learning, Data Storage

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to AI and Machine Learning on Google Cloud

    Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Prompt Engineering, Tensorflow, AI Workflows, Cloud Infrastructure, Artificial Intelligence, Big Data, Model Deployment, Machine Learning, Supervised Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    324 reviews

    Beginner · Course · 1 - 3 Months

  • D

    Duke University

    Python Programming Fundamentals

    Skills you'll gain: Debugging, Algorithms, Problem Solving, Data Processing, Python Programming, Software Development, Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    67 reviews

    Beginner · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Development of Secure Embedded Systems

    Skills you'll gain: Real-Time Operating Systems, Embedded Systems, Embedded Software, Internet Of Things, Security Requirements Analysis, Network Architecture, Network Security, Operating Systems, Cybersecurity, Web Services, Encryption, Network Protocols, Public Key Cryptography Standards (PKCS), System Programming, Simple Object Access Protocol (SOAP), Application Development, System Requirements, C (Programming Language), System Design and Implementation, Software Development

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • A

    Automatic Data Processing, Inc. (ADP)

    Payroll and Tax Fundamentals

    Skills you'll gain: Payroll, Payroll Reporting, Payroll Processing, Payroll Administration, Payroll Tax, Labor Law, Tax Preparation, Labor Compliance, Income Tax, Compensation and Benefits, Tax Compliance, Employee Onboarding

    4.8
    Rating, 4.8 out of 5 stars
    ·
    146 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Fundamentals of Natural Language Processing

    Skills you'll gain: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Logistic Regression, Artificial Intelligence and Machine Learning (AI/ML), Statistical Modeling, Machine Learning Methods, Classification Algorithms, Unstructured Data, Deep Learning, Probability Distribution, Linear Algebra, Algorithms

    Build toward a degree

    3.8
    Rating, 3.8 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Corporate Finance Institute

    Practical Data Science for Data Analysts

    Skills you'll gain: Classification Algorithms, Data Preprocessing, Feature Engineering, Model Evaluation, Data Import/Export, Matplotlib, Data Science, Regression Analysis, Financial Data, Data Analysis, Exploratory Data Analysis, Business Analytics, Data Cleansing, Pandas (Python Package), Machine Learning Algorithms, Statistical Visualization, Financial Analysis, Statistical Modeling, Statistical Analysis, Predictive Analytics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    30 reviews

    Advanced · Specialization · 3 - 6 Months

  • U

    University of California San Diego

    Combinatorics and Probability

    Skills you'll gain: Combinatorics, Probability, Probability Distribution, Algorithms, Bayesian Statistics, Mathematical Modeling, Statistics, Arithmetic, Python Programming, Simulations

    4.6
    Rating, 4.6 out of 5 stars
    ·
    869 reviews

    Beginner · Course · 1 - 3 Months

  • S

    Shanghai Jiao Tong University

    Discrete Mathematics

    Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Computational Thinking, Algorithms, Data Structures, Computer Science

    3.3
    Rating, 3.3 out of 5 stars
    ·
    202 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Washington

    Data Science at Scale

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Databases, Statistical Machine Learning, Model Evaluation, Predictive Analytics, R Programming, Data Analysis, SQL, Predictive Modeling, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    923 reviews

    Intermediate · Specialization · 3 - 6 Months

1…535455…199

In summary, here are 10 of our most popular classification algorithms courses

  • Recommender Systems: University of Minnesota
  • Deep Learning and Reinforcement Learning: IBM
  • Feature Engineering: Google Cloud
  • Introduction to AI and Machine Learning on Google Cloud: Google Cloud
  • Python Programming Fundamentals: Duke University
  • Development of Secure Embedded Systems: 28DIGITAL
  • Payroll and Tax Fundamentals: Automatic Data Processing, Inc. (ADP)
  • Fundamentals of Natural Language Processing: University of Colorado Boulder
  • Practical Data Science for Data Analysts: Corporate Finance Institute
  • Combinatorics and Probability: University of California San Diego

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