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  • Apply And Evaluate Data Mining Methods

Results for "apply and evaluate data mining methods"


  • F

    Fundação Instituto de Administração

    Data Analysis for Business

    Skills you'll gain: Data Visualization, Data Presentation, Business Analytics, Regression Analysis, Descriptive Statistics, Data Analysis, Data-Driven Decision-Making, Statistical Inference, Statistical Methods, Data Strategy, Analytics, Strategic Decision-Making, Statistical Analysis, Data Science, Probability & Statistics, Statistical Hypothesis Testing, Statistical Modeling, Correlation Analysis

    ★ 4.6 (28) · Intermediate · Course · 1 - 3 Months

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

    Clemson University

    Applied Data Science

    Skills you'll gain: Dimensionality Reduction, Model Evaluation, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Data Preprocessing, Statistical Methods, Data Wrangling, Plot (Graphics), Descriptive Statistics, Data Analysis, Data Visualization Software, Applied Machine Learning, Pandas (Python Package), Data Mining, Data-Driven Decision-Making

    Intermediate · Course · 1 - 3 Months

    Category: Build toward a degree
    Build toward a degree
  • C

    Coursera

    Automate, Analyze, and Evaluate ML Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Apache Airflow, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Verification And Validation, Content Performance Analysis, Automation, Statistical Methods, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    Analyze Fraud Using Data Analytics and R

    Skills you'll gain: Fraud detection, Anomaly Detection, Loss Prevention, R Programming, R (Software), Analytical Skills, Machine Learning Methods, Unsupervised Learning, Financial Data, Risk Analysis, Analytics, Business Strategies, Data-Driven Decision-Making, Supervised Learning, Big Data

    Beginner · Course · 1 - 4 Weeks

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

    Northeastern University

    Machine Learning in Healthcare: Fundamentals & Applications

    Skills you'll gain: Data Mining, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, AI Integrations, Random Forest Algorithm, Diagnostic Tests, Clinical Experience, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Health Technology, Healthcare Industry Knowledge

    ★ 4.7 (10) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Illinois Urbana-Champaign

    Machine Learning Algorithms with Python in Business Analytics

    Skills you'll gain: Classification Algorithms, Business Analytics, Data Preprocessing, Analytics, Regression Analysis, Machine Learning Algorithms, Advanced Analytics, Applied Machine Learning, Scikit Learn (Machine Learning Library), Business Analysis, Unsupervised Learning, Machine Learning Methods, Predictive Modeling, Machine Learning, Python Programming, Decision Tree Learning, Supervised Learning

    ★ 4.6 (41) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • C

    Coursera

    Build & Evaluate Decision Trees for ML

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Classification Algorithms, Model Training, Applied Machine Learning, Java, Java Programming, Model Optimization, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Fine-tuning, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Algorithms

    Advanced · Course · 1 - 4 Weeks

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

    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Java Programming, Sampling (Statistics), Statistical Machine Learning, Model Evaluation, Supervised Learning, Machine Learning Methods, Model Training, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    PySpark: Apply & Analyze Advanced Data Processing

    Skills you'll gain: PySpark, Apache Spark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Risk Modeling, Data Preprocessing, Unstructured Data, Simulation and Simulation Software, Data Manipulation, Marketing Analytics

    ★ 4.6 (14) · Mixed · Course · 1 - 4 Weeks

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

    Università di Napoli Federico II

    Machine Learning e Data Mining 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

    ★ 4.9 (10) · Intermediate · Course · 1 - 4 Weeks

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

    Northeastern University

    Machine Learning for Healthcare Professionals

    Skills you'll gain: Data Mining, Health Informatics, Acute Care, Emerging Technologies, Health Technology, Analytics, Data Preprocessing, AI Integrations, Machine Learning, Machine Learning Algorithms, Health Care, Applied Machine Learning, Data Analysis, Correlation Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Home Health Care, Data Quality, Responsible AI, Business Process Improvement

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Data Science for Professionals

    Skills you'll gain: Predictive Modeling, Data Visualization, Predictive Analytics, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Statistical Methods, Data Visualization Software, Statistics, Data Wrangling, Data Cleansing, Analytics, Data Preprocessing, Data-Driven Decision-Making, Business Analytics, Model Evaluation, Data Collection, Machine Learning

    ★ 4.7 (25) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
1…567…834

In summary, here are 10 of our most popular apply and evaluate data mining methods courses

  • Data Analysis for Business: Fundação Instituto de Administração
  • Applied Data Science: Clemson University
  • Automate, Analyze, and Evaluate ML Experiments: Coursera
  • Analyze Fraud Using Data Analytics and R: EDUCBA
  • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University
  • Machine Learning Algorithms with Python in Business Analytics: University of Illinois Urbana-Champaign
  • Build & Evaluate Decision Trees for ML: Coursera
  • Improve Accuracy with ML Ensemble Methods: Coursera
  • PySpark: Apply & Analyze Advanced Data Processing: EDUCBA
  • Machine Learning e Data Mining in R: Università di Napoli Federico II

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