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    Results for "random forests"

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: Rmarkdown, Shiny (R Package), Statistical Inference, Statistical Hypothesis Testing, Predictive Modeling, Regression Analysis, Exploratory Data Analysis, Statistical Analysis, Machine Learning Algorithms, Statistical Methods, Plotly, Statistics, Classification And Regression Tree (CART), R Programming, Data Visualization, Data Science, Statistical Modeling, Data Presentation, Machine Learning, GitHub

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      Universidad de los Andes

      Maestría en Inteligencia Analítica de Datos

      Skills you'll gain: Systems Thinking, Network Analysis, Unsupervised Learning, Data Storytelling, Deep Learning, Computer Vision, Predictive Modeling, MLOps (Machine Learning Operations), Project Management Life Cycle, Time Series Analysis and Forecasting, Strategic Decision-Making, Marketing Analytics, Financial Modeling, Reinforcement Learning, Exploratory Data Analysis, Descriptive Analytics, Simulations, Presentations, Random Forest Algorithm, Pandas (Python Package)

      Earn a degree

      Degree · 1 - 4 Years

    • Status: Free Trial
      Free Trial
      G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Cleansing, Data Integrity, Data Quality, Sampling (Statistics), Data Transformation, Data Validation, Data Wrangling, Data Manipulation, Data Analysis, SQL, Sample Size Determination, Exploratory Data Analysis, Spreadsheet Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Regression

      Skills you'll gain: Regression Analysis, Supervised Learning, Feature Engineering, Predictive Modeling, Machine Learning, Statistical Methods, Algorithms, Data Manipulation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Preview
      Preview
      S

      Stanford University

      Social and Economic Networks: Models and Analysis

      Skills you'll gain: Network Analysis, Game Theory, Mathematical Modeling, Social Sciences, Statistical Modeling, Markov Model, Probability, Bayesian Statistics, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      754 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      The Power of Statistics

      Skills you'll gain: Sampling (Statistics), Statistical Analysis, Statistics, Statistical Hypothesis Testing, Data Analysis, Statistical Programming, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Science, Probability, Jupyter, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      814 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Bayesian Statistics, Probability Distribution, Probability & Statistics, Sampling (Statistics), Probability, A/B Testing, Statistics, Data Science, Statistical Analysis, Statistical Inference

      4.6
      Rating, 4.6 out of 5 stars
      ·
      582 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Classification

      Skills you'll gain: Supervised Learning, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Applied Machine Learning, Statistical Machine Learning, Data-Driven Decision-Making, Machine Learning, Predictive Modeling, Random Forest Algorithm, Statistical Modeling, Feature Engineering, Sampling (Statistics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      417 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medical Diagnosis

      Skills you'll gain: Image Analysis, Data Processing, Computer Vision, Applied Machine Learning, Statistical Methods, Keras (Neural Network Library), Data Validation, Medical Imaging, Magnetic Resonance Imaging, Radiology, Deep Learning, Statistics, Tensorflow, Probability & Statistics, Machine Learning Methods, Predictive Modeling, Artificial Neural Networks, Artificial Intelligence, Machine Learning Algorithms, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      E

      Eindhoven University of Technology

      Improving your statistical inferences

      Skills you'll gain: Statistical Inference, Bayesian Statistics, Statistical Methods, Statistical Hypothesis Testing, Statistics, Probability & Statistics, Quantitative Research, Scientific Methods, Statistical Modeling, Statistical Analysis, Sample Size Determination, Data Literacy, Research, Statistical Reporting, Probability Distribution, Data Sharing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      797 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Specialized Models: Time Series and Survival Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Advanced Analytics, Predictive Modeling, Statistical Analysis, Applied Machine Learning, Statistical Modeling, Deep Learning, Regression Analysis, Unsupervised Learning, Data Analysis, Pandas (Python Package), Dimensionality Reduction

      4.5
      Rating, 4.5 out of 5 stars
      ·
      135 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Machine Learning, Applied Machine Learning, Jupyter, Image Analysis, Deep Learning, Supervised Learning, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, AI Personalization, Classification And Regression Tree (CART), Python Programming, Application Deployment, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    Searches related to random forests

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

    • Data Science: Statistics and Machine Learning: Johns Hopkins University
    • Maestría en Inteligencia Analítica de Datos: Universidad de los Andes
    • Process Data from Dirty to Clean: Google
    • Machine Learning: Regression: University of Washington
    • Social and Economic Networks: Models and Analysis: Stanford University
    • The Power of Statistics: Google
    • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
    • Supervised Machine Learning: Classification: IBM
    • AI for Medical Diagnosis: DeepLearning.AI
    • Improving your statistical inferences: Eindhoven University of Technology

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