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    Results for "causal forests"

    • J

      Johns Hopkins University

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

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      172 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      CertNexus

      Build Decision Trees, SVMs, and Artificial Neural Networks

      Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Statistical Machine Learning, Supervised Learning, Computer Vision, Regression Analysis, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

    • 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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Classification Trees in Python, From Start To Finish

      Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      230 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Glasgow

      Explainable deep learning models for healthcare - CDSS 3

      Skills you'll gain: Deep Learning, Applied Machine Learning, Image Analysis, Time Series Analysis and Forecasting, Machine Learning, Visualization (Computer Graphics), Electocardiography, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 2

      Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Machine Learning Methods, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis, Performance Measurement

      4.2
      Rating, 4.2 out of 5 stars
      ·
      22 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Machine Learning with Spark on Google Cloud Dataproc

      Skills you'll gain: Apache Spark, Google Cloud Platform, Predictive Modeling, Big Data, Applied Machine Learning, Cloud Computing, Statistical Modeling

      Intermediate · Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Artificial Intelligence for Breast Cancer Detection

      Skills you'll gain: Mammography, Artificial Intelligence, Medical Imaging, Image Analysis, Oncology, Computer Vision, Radiology, Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Radiography, Epidemiology, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      70 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Interpretable machine learning applications: Part 3

      Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Financial Forecasting, Business Analytics, Predictive Modeling, Deep Learning, Machine Learning, Commercial Lending, Decision Making, Mortgage Loans, Exploratory Data Analysis, Consumer Lending

      4.5
      Rating, 4.5 out of 5 stars
      ·
      20 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      TensorFlow Prediction: Identify Penguin Species

      Skills you'll gain: Data Processing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Data Manipulation, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

      Intermediate · Guided Project · Less Than 2 Hours

    • É

      École Polytechnique Fédérale de Lausanne

      Big Data Analysis with Scala and Spark (Scala 2 version)

      Skills you'll gain: Apache Spark, Scala Programming, Apache Hadoop, Big Data, Data Manipulation, Distributed Computing, Data Processing, Performance Tuning, Programming Principles

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Introducción a la inteligencia artificial

      Skills you'll gain: Bayesian Network, Program Development, Computational Logic, Game Theory, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Engineering Software, Markov Model, Software Development, Theoretical Computer Science, Generative AI, Decision Support Systems, Applied Machine Learning, Data Ethics, Problem Management, Social Sciences, Bioinformatics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      584 reviews

      Intermediate · Specialization · 3 - 6 Months

    1…8910…12

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

    • Data – What It Is, What We Can Do With It: Johns Hopkins University
    • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
    • Quantifying Relationships with Regression Models: Johns Hopkins University
    • Classification Trees in Python, From Start To Finish: Coursera Project Network
    • Explainable deep learning models for healthcare - CDSS 3: University of Glasgow
    • Interpretable Machine Learning Applications: Part 2: Coursera Project Network
    • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
    • Artificial Intelligence for Breast Cancer Detection: Johns Hopkins University
    • Interpretable machine learning applications: Part 3: Coursera Project Network
    • TensorFlow Prediction: Identify Penguin Species: Coursera Project Network

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