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    Results for "random forests"

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Computational Methods in Pricing and Model Calibration

      Skills you'll gain: Regression Analysis, Derivatives, Financial Market, Statistical Methods, Financial Modeling, Securities (Finance), Mathematical Modeling, Numerical Analysis, Equities, Financial Data, Python Programming, Probability Distribution, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      40 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Advanced Topics in Derivative Pricing

      Skills you'll gain: Derivatives, Credit Risk, Financial Market, Capital Markets, Futures Exchange, Equities, Risk Analysis, Risk Management, Market Dynamics, Portfolio Management, Financial Modeling, Mathematical Modeling, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      Build Regression, Classification, and Clustering Models

      Skills you'll gain: Unsupervised Learning, Regression Analysis, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Methods, Supervised Learning, Feature Engineering, Classification And Regression Tree (CART), Performance Tuning, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Graduate Admission Prediction with Pyspark ML

      Skills you'll gain: Data Cleansing, PySpark, Data Processing, Pandas (Python Package), Applied Machine Learning, Predictive Modeling, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistics and Applied Data Analysis

      Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export, Excel Formulas

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Advanced AI Techniques for the Supply Chain

      Skills you'll gain: Image Analysis, Supervised Learning, Applied Machine Learning, Predictive Modeling, Anomaly Detection, Statistical Modeling, Supply Chain Management, Machine Learning, Computer Vision, Supply Chain, Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Natural Language Processing, Artificial Neural Networks, Customer Demand Planning, Forecasting, Unsupervised Learning, Performance Tuning

      3.4
      Rating, 3.4 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

    • E

      EIT Digital

      Quantitative Model Checking

      Skills you'll gain: Computational Logic, Markov Model, Verification And Validation, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Probability, Algorithms, Real-Time Operating Systems, Probability Distribution

      4.2
      Rating, 4.2 out of 5 stars
      ·
      53 reviews

      Intermediate · 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, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Probability & Statistics, Big Data

      4.1
      Rating, 4.1 out of 5 stars
      ·
      320 reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Introduction to AI: Key Concepts and Applications

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Performance Metric, Strategic Leadership, Strategic Decision-Making, Data Quality, Applied Machine Learning, Data Ethics, Machine Learning, Supervised Learning, Algorithms, Artificial Neural Networks, Data Validation, Random Forest Algorithm, Resource Utilization, System Requirements

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      109 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      The Measure Phase for the 6 σ Black Belt

      Skills you'll gain: Six Sigma Methodology, Lean Methodologies, Process Capability, Lean Six Sigma, Data Collection, Sampling (Statistics), Probability Distribution, Process Analysis, Descriptive Statistics, Performance Measurement, Quality Improvement, Continuous Quality Improvement (CQI), Statistics, Probability, Systems Of Measurement, Statistical Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      52 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Sampling People, Networks and Records

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Software, Probability & Statistics, Probability, Research Methodologies, Network Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      104 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to random forests

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

    • Computational Methods in Pricing and Model Calibration: Columbia University
    • Advanced Topics in Derivative Pricing: Columbia University
    • Build Regression, Classification, and Clustering Models: CertNexus
    • Graduate Admission Prediction with Pyspark ML: Coursera Project Network
    • Statistics and Applied Data Analysis: University of Colorado Boulder
    • Advanced AI Techniques for the Supply Chain: LearnQuest
    • Quantitative Model Checking: EIT Digital
    • Practical Predictive Analytics: Models and Methods: University of Washington
    • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
    • Probabilistic Deep Learning with TensorFlow 2: Imperial College London

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