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Results for "random+forests"


  • Status: New
    New
    Status: Free Trial
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    P

    Pearson

    Generative AI for Developers: Unit 2

    Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Scripting, Python Programming, Application Development, Test Script Development, Web Applications, AI Workflows, Jupyter, Data Analysis, Pandas (Python Package), Software Documentation, Debugging

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: Generative Adversarial Networks (GANs), PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    99 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
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    E

    EDUCBA

    AI & Predictive Analytics with Python

    Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Model Evaluation, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Classification Algorithms, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Data Science, Unstructured Data, Data Preprocessing, Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
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    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    Illinois Tech

    Statistical Learning

    Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Predicting Extreme Climate Behavior with Machine Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Regression Analysis, Supervised Learning, Data Science, Decision Tree Learning, Statistical Analysis, Classification Algorithms, Predictive Modeling, Artificial Neural Networks, Data Processing, Logistic Regression

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Reinforcement Learning from Human Feedback

    Skills you'll gain: LLM Application, Large Language Modeling, Model Evaluation, Prompt Engineering, Reinforcement Learning

    4.7
    Rating, 4.7 out of 5 stars
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    32 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: New
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    Status: Free Trial
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    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

1…567…9

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

  • Generative AI for Developers: Unit 2: Pearson
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • AI & Predictive Analytics with Python: EDUCBA
  • R Ultimate 2024 - R for Data Science and Machine Learning: Packt
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Statistical Learning: Illinois Tech
  • Predicting Extreme Climate Behavior with Machine Learning : University of Colorado Boulder
  • Reinforcement Learning from Human Feedback: DeepLearning.AI
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • Statistical Learning for Engineering Part 1: Northeastern University

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