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  • Regression Techniques To Real World Datasets

Results for "regression techniques to real-world datasets"


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    EDUCBA

    Predictive Models: Build, Explore Data & Deploy

    Skills you'll gain: Data Modeling, Classification And Regression Tree (CART), Data Validation, Statistical Analysis, Application Deployment

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    U

    University of Pittsburgh

    Statistics and Calculus Methods for Data Analysis

    Skills you'll gain: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Data Cleansing, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, NumPy, Pandas (Python Package), Box Plots, Histogram

    4.9
    Rating, 4.9 out of 5 stars
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    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Howard University

    Building Regression Models with Linear Algebra

    Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Mathematics, Machine Learning Methods, Linear Algebra, Small Data, Statistical Analysis, NumPy

    4.7
    Rating, 4.7 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Analysis in R: Predictive Analysis with Regression

    Skills you'll gain: Ggplot2, Data Visualization, Regression Analysis, Predictive Analytics, Statistical Modeling, R Programming, Descriptive Statistics, Exploratory Data Analysis, Statistics, Statistical Analysis, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
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    13 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    University of Pittsburgh

    Probability Theory and Regression for Predictive Analytics

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    EDUCBA

    Python: Logistic Regression & Supervised ML

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

    Mixed · Course · 1 - 4 Weeks

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    Duke University

    Inferenzstatistik

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Statistics, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Predictive Analytics, Statistical Modeling, R Programming, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Probability & Statistics, Network Analysis, Big Data, Sampling (Statistics), Random Forest Algorithm

    4.1
    Rating, 4.1 out of 5 stars
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    322 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
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    32 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
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    Ball State University

    Statistical Methods for Data Science

    Skills you'll gain: Statistical Methods, Probability, Data Science, Probability & Statistics, Statistical Analysis, Probability Distribution, Statistical Modeling, Bayesian Statistics, Statistical Inference, Sampling (Statistics), R Programming, Statistical Visualization

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular regression techniques to real-world datasets courses

  • Predictive Models: Build, Explore Data & Deploy: EDUCBA
  • Statistics and Calculus Methods for Data Analysis: University of Pittsburgh
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • Building Regression Models with Linear Algebra: Howard University
  • Data Analysis in R: Predictive Analysis with Regression: Coursera
  • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Inferenzstatistik: Duke University
  • Practical Predictive Analytics: Models and Methods: University of Washington
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University

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