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  • Multi Class Classification

Results for "multi-class classification"


  • U

    UniversitĆ  di Napoli Federico II

    Machine Learning e Data MiningĀ in R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling

    4.9
    Rating, 4.9 out of 5 stars
    Ā·
    10 reviews

    Intermediate Ā· Course Ā· 1 - 4 Weeks

  • E

    EDUCBA

    Image Classification with Keras: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Tensorflow, Applied Machine Learning, Data Preprocessing, Jupyter, Matplotlib, Visualization (Computer Graphics)

    Mixed Ā· Course Ā· 1 - 4 Weeks

  • C

    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate Ā· Course Ā· 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Trees, SVM and Unsupervised Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Statistics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    Ā·
    8 reviews

    Intermediate Ā· Course Ā· 1 - 4 Weeks

  • C

    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric

    Intermediate Ā· Course Ā· 1 - 4 Weeks

  • U

    University of California, Davis

    AI Agents: From Prompts to Multi-Agent Systems

    Skills you'll gain: Prompt Engineering, AI Workflows, Agentic systems, Generative AI, AI Orchestration, Artificial Intelligence, Responsible AI, Innovation, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    Ā·
    150 reviews

    Beginner Ā· Course Ā· 1 - 3 Months

  • U

    University of Colorado Boulder

    Supervised Text Classification for Marketing Analytics

    Skills you'll gain: Supervised Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Machine Learning Algorithms, Transfer Learning, Text Mining, Model Evaluation, Data Manipulation, Marketing Analytics, Python Programming, Google Cloud Platform, Classification Algorithms, Artificial Neural Networks, Performance Metric

    Build toward a degree

    3.1
    Rating, 3.1 out of 5 stars
    Ā·
    14 reviews

    Beginner Ā· Course Ā· 1 - 4 Weeks

  • W

    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Classification Algorithms, Machine Learning, Supervised Learning, Data Processing, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
    Ā·
    9 reviews

    Intermediate Ā· Course Ā· 1 - 4 Weeks

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

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

    4.6
    Rating, 4.6 out of 5 stars
    Ā·
    162 reviews

    Intermediate Ā· Guided Project Ā· Less Than 2 Hours

  • P

    Packt

    Cluster Analysis and Unsupervised Machine Learning in Python

    Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Statistical Methods, Dimensionality Reduction, Algorithms, NumPy, Python Programming

    Intermediate Ā· Course Ā· 1 - 3 Months

  • P

    Packt

    Exploratory Data Analysis & Core ML Algorithms

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Scikit Learn (Machine Learning Library), Data Preprocessing, Statistical Machine Learning, Feature Engineering

    Intermediate Ā· Course Ā· 1 - 3 Months

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    Ā·
    19 reviews

    Beginner Ā· Guided Project Ā· Less Than 2 Hours

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In summary, here are 10 of our most popular multi-class classification courses

  • Machine Learning e Data MiningĀ in R:Ā UniversitĆ  di Napoli Federico II
  • Image Classification with Keras: Build & Optimize:Ā EDUCBA
  • Improve Accuracy with ML Ensemble Methods:Ā Coursera
  • Trees, SVM and Unsupervised Learning:Ā University of Colorado Boulder
  • Learn to Choose the Right ML Model:Ā Coursera
  • AI Agents: From Prompts to Multi-Agent Systems:Ā University of California, Davis
  • Supervised Text Classification for Marketing Analytics:Ā University of Colorado Boulder
  • NVIDIA: Fundamentals of Deep Learning:Ā Whizlabs
  • Support Vector Machines in Python, From Start to Finish:Ā Coursera
  • Cluster Analysis and Unsupervised Machine Learning in Python:Ā Packt

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