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  • Machine Learning Classification Regression Models

Results for "machine learning classification (regression) models"


  • 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, Machine Learning Methods, Model Training, Predictive Modeling, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis, Performance Measurement

    ★ 4.3 (28) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Graduate Admission Prediction with Pyspark ML

    Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Data Processing, Apache Spark, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

    ★ 4.7 (34) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • P

    Packt

    Data Science Model Deployments and Cloud Computing on GCP

    Skills you'll gain: Docker (Software), CI/CD, Model Deployment, Cloud Deployment, Continuous Deployment, Application Performance Management, Continuous Integration, Google App Engine, Model Training, Site Reliability Engineering

    Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • C

    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: Classification And Regression Tree (CART), Convolutional Neural Networks, Random Forest Algorithm, Recurrent Neural Networks (RNNs), Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Computer Vision, Classification Algorithms, Model Training, Natural Language Processing

    ★ 4.9 (14) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    IBM Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming

    ★ 4.6 (3.6K) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Washington

    Machine Learning

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Supervised Learning, Bayesian Statistics, Statistical Machine Learning, Model Training, Logistic Regression, Statistical Modeling, Data Mining

    ★ 4.6 (16K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • M

    Microsoft

    Microsoft Azure Machine Learning

    Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Machine Learning Software, Model Training, Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning

    ★ 4.4 (296) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of London

    Machine Learning for All

    Skills you'll gain: Model Training, Applied Machine Learning, Feature Engineering, Machine Learning Software, Machine Learning, Machine Learning Methods, Artificial Intelligence, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, AI literacy, Test Data, Data Collection, Classification Algorithms

    ★ 4.7 (3.5K) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • 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

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning

    ★ 4.6 (3.4K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    ★ 4.6 (309) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks

    ★ 4.6 (8.8K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…91011…790

In summary, here are 10 of our most popular machine learning classification (regression) models courses

  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Graduate Admission Prediction with Pyspark ML: Coursera
  • Data Science Model Deployments and Cloud Computing on GCP: Packt
  • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
  • IBM Machine Learning: IBM
  • Machine Learning: University of Washington
  • Microsoft Azure Machine Learning: Microsoft
  • Machine Learning for All: University of London
  • Machine Learning: DeepLearning.AI
  • IBM Introduction to Machine Learning: IBM

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