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Results for "feature selection"


  • Status: Free Trial
    Free Trial
    S

    SAS

    Creating Features for Time Series Data

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Feature Engineering, Statistical Analysis, Data Analysis, Data Transformation, Exploratory Data Analysis, Unsupervised Learning, Dimensionality Reduction, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Image Captioning with TensorFlow & Streamlit

    Skills you'll gain: Amazon Elastic Compute Cloud, Application Deployment, Tensorflow, Image Analysis, Feature Engineering, Computer Vision, Deep Learning, Applied Machine Learning, Application Development, Data Processing

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Predictive Modeling with Python: Apply & Evaluate

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Data Processing, Supervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Data Cleansing, Data Transformation, Statistical Analysis, Pandas (Python Package), NumPy

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Text Mining, Data Manipulation, Unsupervised Learning, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Predictive Analytics with SAS: Build & Deploy Models

    Skills you'll gain: SAS (Software), Predictive Analytics, Regression Analysis, Statistical Modeling, Business Analytics, Machine Learning Methods, Data Cleansing, Data Mining, Data Modeling, Feature Engineering, Application Deployment, Statistical Analysis, Decision Tree Learning, Data Transformation, Process Flow Diagrams, Artificial Neural Networks, Performance Metric

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with Python: Case Studies

    Skills you'll gain: Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Predictive Modeling, Predictive Analytics, Credit Risk, Supervised Learning, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Building a Real-World Data Science Solution

    Skills you'll gain: AWS SageMaker, Exploratory Data Analysis, Feature Engineering, Dashboard, Interactive Data Visualization, Data Presentation, Data Visualization, Data Pipelines, Project Documentation, Solution Delivery, Data Storytelling, Amazon Web Services, Data Analysis, Data Integration, Technical Documentation, Business Intelligence, Cloud Infrastructure, Technical Communication, Automation, Project Management

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    R: Design & Evaluate Random Forests for Attrition

    Skills you'll gain: People Analytics, Data Validation, Data Processing, Workforce Management, Advanced Analytics

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Data Processing, Data Transformation

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Linear Regression with R: Build & Optimize

    Skills you'll gain: Regression Analysis, Statistical Methods, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Validation, Data Analysis, R Programming, Supervised Learning, Statistical Hypothesis Testing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning

    Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Master Decision Trees in R: Build, Predict & Evaluate

    Skills you'll gain: Supervised Learning, Data-Driven Decision-Making

    Mixed · Course · 1 - 4 Weeks

1234…66

In summary, here are 10 of our most popular feature selection courses

  • Creating Features for Time Series Data: SAS
  • Image Captioning with TensorFlow & Streamlit: EDUCBA
  • Predictive Modeling with Python: Apply & Evaluate: EDUCBA
  • Machine Learning in Python: Analyze & Apply: EDUCBA
  • Predictive Analytics with SAS: Build & Deploy Models: EDUCBA
  • Machine Learning with Python: Case Studies: EDUCBA
  • Building a Real-World Data Science Solution : Coursera
  • R: Design & Evaluate Random Forests for Attrition: EDUCBA
  • Deep Learning: Build & Optimize Neural Networks: EDUCBA
  • Linear Regression with R: Build & Optimize: EDUCBA

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