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  • Regression Models

Results for "regression+models"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    15 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Predictive Modeling with Python

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Statistical Methods, Data Analysis, Applied Machine Learning, Business Analytics, Statistical Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Big Data, Python Programming, Data Manipulation, Pandas (Python Package), Logistic Regression, NumPy

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Regression and Classification

    Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Data Science, Statistical Methods, Statistical Analysis, Model Evaluation, Regression Analysis, Predictive Modeling, R Programming, Machine Learning, Classification Algorithms, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Data Preprocessing, Applied Machine Learning, Statistical Analysis, R (Software), Model Evaluation, Statistical Machine Learning, Classification And Regression Tree (CART), Advanced Analytics, Statistical Programming, Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Logistic Regression, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Machine Learning Algorithms, Python Programming, Supervised Learning, Classification Algorithms, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    MLOps in R: Deploying machine learning models using vetiver

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

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Regression, Classification, and Clustering Models

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Meaningful Predictive Modeling

    Skills you'll gain: Model Evaluation, Predictive Modeling, Data Validation, Regression Analysis, Supervised Learning, Feature Engineering, Python Programming, Statistical Methods, Machine Learning Methods, Data Preprocessing, Classification Algorithms, Natural Language Processing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    49 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Simple Linear Regression for the Absolute Beginner

    Skills you'll gain: Regression Analysis, Visualization (Computer Graphics), Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Supervised Learning, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    67 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Diabetes Prediction With Pyspark MLLIB

    Skills you'll gain: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Classification And Regression Tree (CART), 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
    Free
    C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Data Preprocessing, Data Manipulation, Predictive Modeling, R Programming, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Performance Tuning, Logistic Regression

    Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular regression+models courses

  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Predictive Modeling with Python : Edureka
  • Regression and Classification: University of Colorado Boulder
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Logistic Regression with NumPy and Python: Coursera
  • MLOps in R: Deploying machine learning models using vetiver: Coursera
  • Build Regression, Classification, and Clustering Models: CertNexus
  • Build and deploy a stroke prediction model using R: Coursera
  • Meaningful Predictive Modeling: University of California San Diego
  • Simple Linear Regression for the Absolute Beginner: Coursera

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