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    • Linear Regression

    Linear Regression Courses Online

    Explore linear regression for statistical modeling. Learn to analyze relationships between variables and make predictions based on data.

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    Explore the Linear Regression Course Catalog

    • 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
      ·
      8 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Linear Kalman Filter Deep Dive (and Target Tracking)

      Skills you'll gain: Advanced Mathematics, Mathematical Modeling, Systems Of Measurement, Linear Algebra, Statistical Methods, Predictive Analytics, Predictive Modeling, Applied Mathematics, Time Series Analysis and Forecasting, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Intro to Predictive Analytics Using Python

      Skills you'll gain: Feature Engineering, Unsupervised Learning, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Random Forest Algorithm, Scikit Learn (Machine Learning Library), Data Analysis, Regression Analysis, Machine Learning, Python Programming

      Beginner · Course · 1 - 4 Weeks

    • 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, Regression Analysis, Data Analysis

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      H

      Howard University

      Introduction to Linear Algebra and Python

      Skills you'll gain: Linear Algebra, Applied Mathematics, NumPy, Mathematical Software, Algebra, Data Visualization Software, Jupyter, Mathematical Modeling, Data Science, Python Programming, Data Analysis, Software Installation, Git (Version Control System)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Predictive Modeling, Model Fitting, and Regression Analysis

      Skills you'll gain: Predictive Modeling, Predictive Analytics, Classification And Regression Tree (CART), Regression Analysis, Decision Tree Learning, Statistical Modeling, Supervised Learning, Data Analysis, Forecasting, Machine Learning, Unsupervised Learning, Statistical Analysis, Time Series Analysis and Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      71 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Matrix Calculus for Data Science & Machine Learning

      Skills you'll gain: Calculus, Applied Mathematics, NumPy, Tensorflow, Machine Learning, Python Programming, Derivatives, Algorithms, Development Environment

      Intermediate · Course · 1 - 3 Months

    • 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: Preview
      Preview
      I

      IIT Roorkee

      Linear Algebra Basics

      Skills you'll gain: Linear Algebra, Machine Learning Algorithms, NumPy, Dimensionality Reduction, Machine Learning, Data Science, Advanced Mathematics, Applied Mathematics, Python Programming

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      S

      Sungkyunkwan University

      Using R for Regression and Machine Learning in Investment

      Skills you'll gain: Regression Analysis, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Statistical Methods, Machine Learning, Statistical Analysis, Financial Analysis, Time Series Analysis and Forecasting, Supervised Learning, Financial Data

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Regression Analysis

      Skills you'll gain: Regression Analysis, Supervised Learning, Statistical Analysis, Data Analysis, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Feature Engineering, Exploratory Data Analysis, Verification And Validation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Analysis with Python Project

      Skills you'll gain: Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Regression Analysis, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Exploratory Data Analysis, Project Planning

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    Linear Regression learners also search

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    1…8910…82

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

    • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera Project Network
    • Linear Kalman Filter Deep Dive (and Target Tracking): University of Colorado System
    • Intro to Predictive Analytics Using Python: University of Pennsylvania
    • Solving ML Regression Problems with AWS AutoGluon: Coursera Project Network
    • Introduction to Linear Algebra and Python: Howard University
    • Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine
    • Matrix Calculus for Data Science & Machine Learning: Packt
    • Predictive Modeling with Logistic Regression using SAS : SAS
    • Linear Algebra Basics: IIT Roorkee
    • Using R for Regression and Machine Learning in Investment: Sungkyunkwan University

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Inference (16)
    Linear Regression (12)
    Statistical Analysis (12)
    Statistical Inference (11)
    Regression Analysis (10)
    Biostatistics (9)
    Bayesian (7)
    Logistic Regression (7)
    Probability Distribution (7)
    Bayesian Statistics (6)
    Medical Statistics (6)

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