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  • Bagging And Boosting Algorithms

Results for "bagging+and+boosting+algorithms"


  • U

    UniversitĆ  di Napoli Federico II

    Machine Learning e Data MiningĀ in R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Machine Learning, Machine Learning Algorithms, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Manipulation

    ā˜… 4.9 (10) Ā· Intermediate Ā· Course Ā· 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Model Training, Java Programming, Java, Feature Engineering, Statistical Machine Learning, Machine Learning Algorithms, Model Optimization, Deep Learning, Data Pipelines

    Advanced Ā· Course Ā· 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving

    Intermediate Ā· Course Ā· 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Applied Machine Learning, R Programming, R (Software), Data Preprocessing, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Feature Engineering, Data Analysis, Data Processing

    Mixed Ā· Course Ā· 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • 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, Unsupervised Learning, Applied Machine Learning, Embeddings, Machine Learning

    Intermediate Ā· Guided Project Ā· Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Model Training, Data Cleansing, Data Import/Export, Data Transformation, Apache Spark, Data-Driven Decision-Making, AI Enablement, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Machine Learning

    ā˜… 4.7 (26) Ā· Intermediate Ā· Guided Project Ā· Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Tensorflow, Cloud Computing, Statistical Machine Learning, Machine Learning Software, Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Python Programming, Model Training, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Model Optimization, Scientific Visualization

    ā˜… 4.6 (162) Ā· Intermediate Ā· Guided Project Ā· Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • E

    Edureka

    Applied Machine Learning with Python

    Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, AI Personalization, Classification Algorithms, Machine Learning, Model Training, Logistic Regression, Model Optimization, Data Analysis, Driving engagement, Persona (User Experience)

    Intermediate Ā· Course Ā· 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Core Machine Learning & Evaluation

    Skills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Data Transformation, Performance Tuning

    Intermediate Ā· Course Ā· 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Parse & Normalize Data for ML Pipelines

    Skills you'll gain: Data Preprocessing, Data Pipelines, Java Programming, Java, Data Processing, Feature Engineering, Data Import/Export, Data Cleansing, Data Quality, Model Training, Data Transformation, Data Validation, Data Integrity, Data Access, Continuous Monitoring, Apache Maven, Object Oriented Programming (OOP)

    Intermediate Ā· Course Ā· 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 2

    28DIGITAL

    I/O-efficient algorithms

    Skills you'll gain: File I/O, Data Structures, Theoretical Computer Science, Algorithms, Memory Management, Graph Theory, Data Access, Performance Tuning

    ā˜… 4.6 (60) Ā· Advanced Ā· Course Ā· 1 - 3 Months

    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Retrieval Optimization: Tokenization to Vector Quantization

    Skills you'll gain: Token Optimization, Embeddings, Retrieval-Augmented Generation, Vector Databases, Model Optimization, Large Language Modeling, Performance Tuning

    Beginner Ā· Project Ā· Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
1…678…9

In summary, here are 10 of our most popular bagging+and+boosting+algorithms courses

  • Machine Learning e Data MiningĀ in R:Ā UniversitĆ  di Napoli Federico II
  • ML Concepts, Models & Workflow Essentials:Ā Coursera
  • Machine Learning for Engineers: Algorithms and Applications:Ā Northeastern University
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML:Ā EDUCBA
  • Machine Learning with PySpark: Recommender System:Ā Coursera
  • Machine Learning with PySpark: Customer Churn Analysis:Ā Coursera
  • Support Vector Machines in Python, From Start to Finish:Ā Coursera
  • Applied Machine Learning with Python:Ā Edureka
  • Core Machine Learning & Evaluation:Ā Packt
  • Parse & Normalize Data for ML Pipelines:Ā Coursera

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