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Feature Engineering Courses

Feature engineering courses can help you learn techniques for transforming raw data into meaningful features, selecting relevant variables, and creating new features to improve model performance. You can build skills in data preprocessing, handling missing values, and using domain knowledge to enhance feature sets.


Popular Feature Engineering Courses and Certifications


  • Status: New
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    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    MathWorks

    Predictive Modeling and Machine Learning with MATLAB

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Feature Engineering, Predictive Analytics, Statistical Modeling, Data Processing, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
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    119 reviews

    Beginner · Course · 1 - 4 Weeks

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    SkillUp

    Machine Learning for Medical Data

    Skills you'll gain: Machine Learning Methods, Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Clinical Informatics, Statistical Machine Learning, Predictive Modeling, Electronic Medical Record System, Machine Learning Algorithms, Data Mining, Data Processing, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Alberta Machine Intelligence Institute

    Data for Machine Learning

    Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Machine Learning Methods, Test Data, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Predictive Modeling, Exploratory Data Analysis, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    98 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Unsupervised Learning, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Data Processing, Feature Engineering, Artificial Intelligence, Data Cleansing, Deep Learning, Statistical Analysis, Predictive Modeling, Classification And Regression Tree (CART), Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    Skills you'll gain: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture

    4.6
    Rating, 4.6 out of 5 stars
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    12 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    Coursera

    Predictive Analytics for Business with H2O in R

    Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Analytics, Data Science, Data Processing, Feature Engineering, Machine Learning, Telemarketing, Application Deployment

    4.9
    Rating, 4.9 out of 5 stars
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    53 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
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    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing

    4.5
    Rating, 4.5 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
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    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Amazon Elastic Compute Cloud, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Cloud Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
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    52 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    Corporate Finance Institute

    Data Science & Machine Learning Fundamentals

    Skills you'll gain: Feature Engineering, Data Science, Data Analysis, Business Analytics, Data Literacy, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Classification And Regression Tree (CART), Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Supervised Learning, Data Cleansing, Exploratory Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    12 reviews

    Beginner · Course · 1 - 3 Months

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

  • Building, Evaluating, and Operationalizing ML Models: Packt
  • Predictive Modeling and Machine Learning with MATLAB: MathWorks
  • Machine Learning for Medical Data : SkillUp
  • Data for Machine Learning: Alberta Machine Intelligence Institute
  • NVIDIA: Fundamentals of Machine Learning: Whizlabs
  • Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
  • Predictive Analytics for Business with H2O in R: Coursera
  • Foundations of Machine Learning: Coursera
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite: Whizlabs

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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