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  • Causal Forests

Results for "causal forests"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Data Lineage & Ethical Frameworks for Responsible AI

    Skills you'll gain: Responsible AI, Data Governance, Data Ethics, Data Pipelines, Data Architecture, Data Management, Governance, Data Integrity, Artificial Intelligence, Metadata Management, Automation, Generative AI, Data Security

    Intermediate · Course · 1 - 4 Weeks

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

    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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Razonamiento artificial

    Skills you'll gain: Bayesian Network, Computational Logic, Markov Model, Artificial Intelligence, Game Theory, Theoretical Computer Science, Python Programming, Deductive Reasoning, Probability, Mathematical Modeling, Algorithms

    4.1
    Rating, 4.1 out of 5 stars
    ·
    113 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Decision Tree Classifier for Beginners in R

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Data Processing, Statistical Modeling, R Programming, Supervised Learning, Machine Learning Algorithms, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data – What It Is, What We Can Do With It

    Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    182 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Validity and Bias in Epidemiology

    Skills you'll gain: Research Design, Epidemiology, Data Collection, Biostatistics, Research Methodologies, Public Health and Disease Prevention, Correlation Analysis, Statistical Methods, Statistical Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    251 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    844 reviews

    Intermediate · Course · 1 - 3 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
    U

    University of Colorado System

    Particle Filters (and Navigation)

    Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Global Positioning Systems, Mathematical Modeling, Applied Mathematics, Computational Thinking, Engineering Analysis, Algorithms, Computer Programming Tools

    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

    Trees and Graphs: Basics

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Theoretical Computer Science, Analysis, Computational Thinking, Network Analysis, Computer Programming, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    182 reviews

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Scikit-Learn to Solve Regression Machine Learning Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Machine Learning, Data Analysis, Random Forest Algorithm

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

1…678…13

In summary, here are 10 of our most popular causal forests courses

  • Data Lineage & Ethical Frameworks for Responsible AI: Fractal Analytics
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • Razonamiento artificial: Universidad Nacional Autónoma de México
  • Decision Tree Classifier for Beginners in R: Coursera
  • Data – What It Is, What We Can Do With It: Johns Hopkins University
  • Validity and Bias in Epidemiology: Imperial College London
  • Prediction and Control with Function Approximation: University of Alberta
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Particle Filters (and Navigation): University of Colorado System
  • Trees and Graphs: Basics: University of Colorado Boulder

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