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  • Classification Algorithms

Results for "classification algorithms"


  • A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Statistical Machine Learning, Data Validation, Machine Learning, Project Management

    ★ 4.6 (1.1K) · Intermediate · Specialization · 3 - 6 Months

  • S

    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Social Network Analysis, Network Analysis, Network Routing, Computational Thinking, Mathematical Theory & Analysis, Analysis, Computer Science, Probability & Statistics, Probability, Design Strategies

    ★ 4.8 (6K) · Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Advanced Deep RL Algorithms and Applications

    Skills you'll gain: Reinforcement Learning, Deep Learning, Model Optimization, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Machine Learning, Model Training, Applied Machine Learning, Natural Language Processing, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

    ★ 4.8 (462) · Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Mastering Machine Learning Algorithms using Python

    Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation

    Intermediate · Specialization · 3 - 6 Months

  • D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms

    ★ 4.9 (39K) · Beginner · Specialization · 1 - 3 Months

    Category: Top AI Program
    Top AI Program

What brings you to Coursera today?

  • I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation, Data Transformation

    ★ 4.6 (15K) · Beginner · Specialization · 3 - 6 Months

    Category: Top AI Program
    Top AI Program
  • M

    MathWorks

    Machine Learning for Computer Vision

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Training, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Supervised Learning, Machine Learning Algorithms

    ★ 4.8 (23) · Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Machine Learning Software, Dimensionality Reduction, Machine Learning, Predictive Modeling, Data Wrangling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting

    ★ 4.5 (15) · Intermediate · Course · 1 - 4 Weeks

  • U

    University of California San Diego

    Data Structures and Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Computer Programming, Programming Principles, Python Programming, C and C++, Infectious Diseases, Java Programming, Java, Rust (Programming Language), Javascript, Software Testing, Debugging

    ★ 4.6 (17K) · Intermediate · Specialization · 3 - 6 Months

  • M

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Generative Model Architectures, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Machine Learning Algorithms, Model Training, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Dimensionality Reduction, Model Optimization

    ★ 4.7 (66) · Intermediate · Course · 1 - 3 Months

  • G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms

    ★ 4.8 (620) · Advanced · Course · 1 - 3 Months

1234…230

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

  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Algorithms: Stanford University
  • Advanced Deep RL Algorithms and Applications: Packt
  • Supervised Machine Learning: Classification: IBM
  • Mastering Machine Learning Algorithms using Python: Packt
  • Machine Learning: DeepLearning.AI
  • Mathematics for Machine Learning: Imperial College London
  • Machine Learning for Computer Vision: MathWorks
  • Foundations of Machine Learning: Coursera
  • Data Structures and Algorithms: University of California San Diego

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