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    • Regression

    Regression Courses Online

    Master regression analysis for predictive modeling. Learn about linear, logistic, and polynomial regression techniques.

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    Explore the Regression Course Catalog

    • Status: Preview
      Preview
      N

      National Taiwan University

      機器學習技法 (Machine Learning Techniques)

      Skills you'll gain: Feature Engineering, Statistical Machine Learning, Supervised Learning, Applied Machine Learning, Deep Learning, Machine Learning, Random Forest Algorithm, Decision Tree Learning, Artificial Neural Networks, Unsupervised Learning, Dimensionality Reduction, Regression Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 3 - 6 Months

    • C

      Coursera Project Network

      Deep Learning for Real Estate Price Prediction

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Machine Learning Methods, Applied Machine Learning, Data Processing, Feature Engineering, Property and Real Estate, Predictive Modeling, Data Cleansing, Performance Analysis, Machine Learning, Real Estate, Regression Analysis, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      23 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      SAS

      Analyzing Time Series and Sequential Data

      Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Feature Engineering, Statistical Analysis, Data Analysis, Statistical Methods, Regression Analysis, Data Transformation, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Bayesian Statistics, Automation, Anomaly Detection, Data Processing, Dimensionality Reduction

      5
      Rating, 5 out of 5 stars
      ·
      10 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistical Methods for Computer Science

      Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, R (Software), Probability, Statistics, Probability & Statistics, Statistical Methods, Bayesian Statistics, Social Network Analysis, Applied Mathematics, Probability Distribution, Simulations, Data Science

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Advanced Machine Learning Algorithms

      Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Decision Tree Learning, Performance Tuning, Regression Analysis

      3.5
      Rating, 3.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Predicción de Ventas Pronosticando Tendencias

      Skills you'll gain: Forecasting, Trend Analysis, Spreadsheet Software, Predictive Analytics, Regression Analysis, Time Series Analysis and Forecasting, Data Visualization, Statistical Methods, Statistical Analysis, Plot (Graphics), Data-Driven Decision-Making, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      110 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Cluster Analysis, Association Mining, and Model Evaluation

      Skills you'll gain: Unsupervised Learning, Data Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Modeling, Predictive Analytics, Anomaly Detection, Classification And Regression Tree (CART), Fraud detection, Machine Learning, Correlation Analysis, Scatter Plots, Market Analysis, Supervised Learning, Cross Selling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      47 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Introduction to AI: Key Concepts and Applications

      Skills you'll gain: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements, Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Introduction to Uncertainty Quantification

      Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Edureka

      PySpark for Data Science

      Skills you'll gain: PySpark, Data Pipelines, Data Processing, Data Visualization, Natural Language Processing, Data Analysis Expressions (DAX), Data Integration, Data Transformation, Feature Engineering, Machine Learning, Supervised Learning, Data Cleansing, Text Mining, Deep Learning, Regression Analysis

      2.9
      Rating, 2.9 out of 5 stars
      ·
      10 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Medical Insurance Premium Prediction with Machine Learning

      Skills you'll gain: Data Visualization, Keras (Neural Network Library), Artificial Neural Networks, Interactive Data Visualization, Predictive Modeling, Tensorflow, Applied Machine Learning, Feature Engineering, Data Science, Predictive Analytics, Data Manipulation, Data Cleansing, Machine Learning, Supervised Learning, Regression Analysis, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Data Science for Health Research

      Skills you'll gain: R (Software), Statistical Modeling, Data Visualization, Data Wrangling, Data Manipulation, Correlation Analysis, Histogram, Data Analysis, Statistical Analysis, Biostatistics, Statistics, Statistical Hypothesis Testing, Scripting, Package and Software Management, Predictive Modeling, Risk Analysis, Descriptive Statistics, Data Import/Export

      5
      Rating, 5 out of 5 stars
      ·
      9 reviews

      Beginner · Specialization · 1 - 3 Months

    Regression learners also search

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    1…394041…49

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

    • 機器學習技法 (Machine Learning Techniques): National Taiwan University
    • Deep Learning for Real Estate Price Prediction: Coursera Project Network
    • Analyzing Time Series and Sequential Data: SAS
    • Statistical Methods for Computer Science: Johns Hopkins University
    • Advanced Machine Learning Algorithms: Fractal Analytics
    • Predicción de Ventas Pronosticando Tendencias : Coursera Project Network
    • Cluster Analysis, Association Mining, and Model Evaluation: University of California, Irvine
    • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
    • Introduction to Uncertainty Quantification: Johns Hopkins University
    • PySpark for Data Science: Edureka

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