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  • Random Forest Algorithm

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Results for "random forest algorithm"


  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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, Classification Algorithms, Machine Learning, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Scatter Plots, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    C

    Coursera

    TikTok Insights: Crack the Algorithm

    Skills you'll gain: TikTok, Video Production, Content Strategy, Social Media Content, Content Performance Analysis, Content Creation, Drive Engagement, Social Media Strategy, Social Media

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Decision Tree Classifier for Beginners in R

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Data Manipulation, Statistical Modeling, R Programming, Supervised Learning, Machine Learning, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    162 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    C

    Coursera

    Instagram Insights: Crack the Algorithm

    Skills you'll gain: Instagram, Social Media Content, Content Creation, Content Performance Analysis, Content Marketing, Social Media, Drive Engagement, Social Media Strategy, Digital Media Strategy

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Data Analysis with the FraudFinder Workshop

    Skills you'll gain: Model Deployment, Fraud detection, Feature Engineering, Exploratory Data Analysis, Model Evaluation, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Jupyter, Data Analysis, Data Preprocessing, Machine Learning

    Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    Classification Trees in Python, From Start To Finish

    Skills you'll gain: Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Model Evaluation, Pandas (Python Package)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    233 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Graduate Admission Prediction with Pyspark ML

    Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Apache Spark, Google Cloud Platform, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    C

    Coursera

    Facebook Insights: Crack the Algorithm

    Skills you'll gain: Content Performance Analysis, Facebook, Social Media Content, Analysis, Social Media, Drive Engagement, Social Media Strategy, Content Creation

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    Y

    Yale University

    Tropical Forest Landscapes 101: Conservation & Restoration

    Skills you'll gain: Land Management, Environmental Science, Sustainable Development, Environment, Natural Resource Management, Environmental Engineering and Restoration, Environment and Resource Management, Climate Change Mitigation, Socioeconomics, Finance

    4.9
    Rating, 4.9 out of 5 stars
    ·
    177 reviews

    Beginner · Course · 1 - 3 Months

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

  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Machine Learning with PySpark: Recommender System: Coursera
  • TikTok Insights: Crack the Algorithm: Coursera
  • Decision Tree Classifier for Beginners in R: Coursera
  • Support Vector Machines in Python, From Start to Finish: Coursera
  • Instagram Insights: Crack the Algorithm: Coursera
  • Data Analysis with the FraudFinder Workshop: Google Cloud
  • Classification Trees in Python, From Start To Finish: Coursera
  • Graduate Admission Prediction with Pyspark ML: Coursera

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