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    Results for "machine learning classification (regression) models"

    • Status: Free Trial
      Free Trial
      S

      SAS

      Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

      Skills you'll gain: Predictive Modeling, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Machine Learning Algorithms, Decision Tree Learning, Business Metrics, Data Analysis, Performance Measurement, Regression Analysis, Ethical Standards And Conduct, Deep Learning, Artificial Neural Networks

      4.9
      Rating, 4.9 out of 5 stars
      ·
      64 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Data for Machine Learning

      Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Exploratory Data Analysis, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      MLOps in R: Deploying machine learning models using vetiver

      Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, Tidyverse (R Package), R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Docker (Software), Application Programming Interface (API)

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Machine Learning and its Applications

      Skills you'll gain:

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      ML Parameters Optimization: GridSearch, Bayesian, Random

      Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Bayesian Statistics, Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Graduate Admission Prediction with Pyspark ML

      Skills you'll gain: Data Cleansing, PySpark, Data Processing, Pandas (Python Package), Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Solving ML Regression Problems with AWS AutoGluon

      Skills you'll gain: AWS SageMaker, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Amazon Web Services, Regression Analysis, Data Analysis

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Diabetes Prediction With Pyspark MLLIB

      Skills you'll gain: Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Predictive Modeling, Data Science, Machine Learning, Google Cloud Platform, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Modeling in AWS

      Skills you'll gain: AWS SageMaker, Predictive Modeling, Applied Machine Learning, Data Modeling, Amazon Web Services, Machine Learning, Machine Learning Algorithms, Performance Tuning

      2.6
      Rating, 2.6 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps Platforms: Amazon SageMaker and Azure ML

      Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization, Python Programming

      3.7
      Rating, 3.7 out of 5 stars
      ·
      50 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Optimizing Machine Learning Performance

      Skills you'll gain: Data Ethics, MLOps (Machine Learning Operations), Business Operations, Machine Learning, Ethical Standards And Conduct, Operational Analysis, Applied Machine Learning, Business Strategy, Production Planning, Data Maintenance, Maintainability, Risk Mitigation, Performance Metric, Systems Integration, Stakeholder Communications

      4.4
      Rating, 4.4 out of 5 stars
      ·
      50 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning with PySpark

      Skills you'll gain: PySpark, Apache Spark, Unsupervised Learning, Data Processing, Distributed Computing, Applied Machine Learning, Big Data, Feature Engineering, Machine Learning, Machine Learning Algorithms, Supervised Learning, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    1…789…556

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

    • Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls: SAS
    • Data for Machine Learning: Alberta Machine Intelligence Institute
    • MLOps in R: Deploying machine learning models using vetiver: Coursera Project Network
    • Machine Learning and its Applications: University of Glasgow
    • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera Project Network
    • Graduate Admission Prediction with Pyspark ML: Coursera Project Network
    • Solving ML Regression Problems with AWS AutoGluon: Coursera Project Network
    • Diabetes Prediction With Pyspark MLLIB: Coursera Project Network
    • Modeling in AWS: Whizlabs
    • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University

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