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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: Free
    Free
    D

    DeepLearning.AI

    Prompt Engineering for Vision Models

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Generative AI, Vision Transformer (ViT), Image Analysis, Computer Vision, AI Personalization, AI Workflows

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Scaling Scrum for Large Systems Engineering Projects

    Skills you'll gain: Scaled Agile Framework, Systems Engineering, Scrum (Software Development), Agile Methodology, Agile Project Management, Kanban Principles, Business Leadership, Process Driven Development, Unified Modeling Language, Backlogs, Scalability, Engineering Management, Organizational Change, Waterfall Methodology

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Indian Institute of Technology Guwahati

    Elements of Computer Aided Manufacturing

    Skills you'll gain: Computer-Aided Design, Manufacturing Processes, Robotics, Manufacturing Operations, Mechanical Design, Production Process, Process Development, Simulation and Simulation Software, Automation, Industrial Engineering, Computer Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Prompt Engineering in Python, with GPT, and the OpenAI API

    Skills you'll gain: Multimodal Prompts, OpenAI API, ChatGPT, JSON, Large Language Modeling, Python Programming, Text Mining, Data Validation, Unstructured Data

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Practical Engineering Data Mining: Techniques and Uses

    Skills you'll gain: Data Mining, Exploratory Data Analysis, Model Evaluation, Dimensionality Reduction, Data Preprocessing, Data Cleansing, Data Transformation, Data-Driven Decision-Making, Predictive Analytics, Forecasting, Big Data, Data Analysis, Applied Machine Learning, Statistical Analysis, Classification Algorithms, Data Visualization Software, Unsupervised Learning, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

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

    Edureka

    Generative AI Tools for Modern Software Engineering

    Skills you'll gain: Performance Tuning, Software Development Tools, Code Review, AI Workflows, Generative AI, Software Engineering, Software Technical Review, Application Security, Software Development, DevSecOps, Secure Coding, Prompt Engineering, Software Quality (SQA/SQC), AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Debugging, Software Development Life Cycle, Automation, Analysis

    Intermediate · 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, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Features and Boundaries

    Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Algorithms, Linear Algebra, Machine Learning Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    54 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Applying Systems Engineering to the Design Process

    Skills you'll gain: Requirements Management, Design Reviews, Systems Engineering, Engineering Management, User Requirements Documents, Requirements Analysis, Systems Design, Business Requirements, Software Engineering, Systems Integration, Leadership, Engineering Design Process, Performance Measurement, Manufacturing and Production, Coordination, Data-Driven Decision-Making, Decision Making

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Dassault Systèmes

    xDesign Feature Patterns and Sweeps

    Skills you'll gain: SolidWorks (CAD), Technical Design, Computer-Aided Design, 3D Modeling

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    NLP in Engineering: Concepts & Real-World Applications

    Skills you'll gain: Natural Language Processing, Embeddings, Model Evaluation, Data Ethics, Responsible AI, Deep Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Supervised Learning, Machine Learning Algorithms, Classification Algorithms

    Mixed · 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), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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

  • Prompt Engineering for Vision Models: DeepLearning.AI
  • Scaling Scrum for Large Systems Engineering Projects: University of Colorado System
  • Elements of Computer Aided Manufacturing: Indian Institute of Technology Guwahati
  • Prompt Engineering in Python, with GPT, and the OpenAI API: Packt
  • Practical Engineering Data Mining: Techniques and Uses: Northeastern University
  • Generative AI Tools for Modern Software Engineering: Edureka
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Features and Boundaries: Columbia University
  • Applying Systems Engineering to the Design Process: University of Colorado Boulder
  • xDesign Feature Patterns and Sweeps: Dassault Systèmes

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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