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  • Regression Modeling In Practice

Results for "regression modeling in practice"


  • C

    Coursera

    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
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    SAS

    Modeling Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Statistical Methods, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Simple Linear Regression for the Absolute Beginner

    Skills you'll gain: Data Visualization, Regression Analysis, 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
    ·
    66 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Predictive Modeling, Predictive Analytics, R Programming, Data Analysis, Classification And Regression Tree (CART), Statistical Modeling, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Tidyverse (R Package), Risk Modeling, Application Deployment, Advanced Analytics, Data Import/Export, Machine Learning Methods, Data Presentation, Interactive Data Visualization, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    24 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: Predictive Modeling, Data Validation, Verification And Validation, Applied Machine Learning, Regression Analysis, Supervised Learning, Python Programming, Statistical Methods, Machine Learning Methods, Test Data, Natural Language Processing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    48 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Graduate Admission Prediction with Pyspark ML

    Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, 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

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Random Forest Algorithm, Bayesian Statistics

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Solving ML Regression Problems with AWS AutoGluon

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

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    SAS

    Predictive Modeling with Logistic Regression using SAS

    Skills you'll gain: SAS (Software), Predictive Modeling, Statistical Modeling, Big Data, Regression Analysis, Data Analysis Software, Advanced Analytics, Feature Engineering, Performance Analysis, Performance Measurement, Statistical Analysis, Data Manipulation, Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Quantifying Relationships with Regression Models

    Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Inference, Data Analysis, Statistical Modeling, Statistical Analysis, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    Free
    C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Data Cleansing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning, Hospital Medicine

    Intermediate · Guided Project · Less Than 2 Hours

1…8910…834

In summary, here are 10 of our most popular regression modeling in practice courses

  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Modeling Time Series and Sequential Data: SAS
  • Simple Linear Regression for the Absolute Beginner: Coursera
  • Build and deploy a stroke prediction model using R: Coursera
  • Meaningful Predictive Modeling: University of California San Diego
  • Graduate Admission Prediction with Pyspark ML: Coursera
  • Supervised Learning Regression Classification Clustering: Simplilearn
  • Solving ML Regression Problems with AWS AutoGluon: Coursera
  • Predictive Modeling with Logistic Regression using SAS : SAS
  • Quantifying Relationships with Regression Models: Johns Hopkins University

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