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Results for "bagging"


  • Status: Free
    Free
    D

    DeepLearning.AI

    Prompt Compression and Query Optimization

    Skills you'll gain: Prompt Engineering, MongoDB, Operational Databases, Query Languages, Metadata Management, Performance Tuning, Large Language Modeling, Data Pipelines

    Intermediate · Project · Less Than 2 Hours

  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Data Import/Export, Pandas (Python Package), Generative AI, OpenAI, LLM Application, Application Programming Interface (API), Data Manipulation, Data Processing, Jupyter, Database Development, Python Programming, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    45 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Wrangling Data in the Tidyverse

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Analysis, Statistical Programming, Text Mining

    4.5
    Rating, 4.5 out of 5 stars
    ·
    32 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Machine Learning, Classification And Regression Tree (CART)

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Data Analysis and Representation, Selection and Iteration

    Skills you'll gain: Computational Thinking, Data Analysis, Analysis, C (Programming Language), Programming Principles, Data Structures, Descriptive Statistics, Data Visualization Software

    4.7
    Rating, 4.7 out of 5 stars
    ·
    93 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    N

    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, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Regression, Classification, and Clustering Models

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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Statistics and Clustering in Python

    Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Engineering Data Ecosystems: Pipelines, ETL, Spark

    Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, Data Integration, Big Data, Data Infrastructure, Data Processing, Dataflow, Data Management, Data Architecture, Scalability

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Image Classification on Autopilot with AWS AutoGluon

    Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Plot (Graphics), Machine Learning, Python Programming, Data Science

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Cluster Analysis, Association Mining, and Model Evaluation

    Skills you'll gain: Unsupervised Learning, Data Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Modeling, Predictive Analytics, Anomaly Detection, Classification And Regression Tree (CART), Fraud detection, Machine Learning, Correlation Analysis, Scatter Plots, Market Analysis, Supervised Learning, Cross Selling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    47 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular bagging courses

  • Prompt Compression and Query Optimization: DeepLearning.AI
  • Introduction to Retrieval Augmented Generation (RAG): Duke University
  • Wrangling Data in the Tidyverse: Johns Hopkins University
  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • Data Analysis and Representation, Selection and Iteration: University of Colorado System
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Build Regression, Classification, and Clustering Models: CertNexus
  • Statistics and Clustering in Python: University of London
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Engineering Data Ecosystems: Pipelines, ETL, Spark: Coursera

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