Feature Engineering

Feature Engineering is a process of transforming raw data into features that better represent the underlying patterns to the predictive models, thereby resulting in improved model accuracy. Coursera's Feature Engineering catalogue teaches you how to enhance the predictive power of machine learning algorithms. You'll learn how to select, create, and transform features; manage categorical variables; scale features for different algorithms; handle variables with missing values; and reduce dimensionality for complex datasets. You will strengthen your data analytics skills and add value to predictive models in business, finance, healthcare, and many more sectors.
60credentials
1online degree
181courses

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Explore the Feature Engineering Course Catalog

  • Status: Free Trial

    University of Washington

    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

  • Status: New
    Status: Free Trial

    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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Data Processing, Pandas (Python Package), NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Machine Learning, Data Manipulation, Data Science, Dimensionality Reduction, Statistical Modeling, Feature Engineering, Unsupervised Learning, Performance Tuning

  • Status: New
    Status: Free Trial

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Amazon CloudWatch, AWS Identity and Access Management (IAM), Data Pipelines, Real Time Data, Feature Engineering, Data Storage, Data Security, Encryption

  • Status: New
    Status: Free

    Amazon Web Services

    Skills you'll gain: Amazon Web Services, Agentic systems, Performance Tuning, Prompt Engineering, Feature Engineering, Generative AI, Large Language Modeling, Data Wrangling, Data Cleansing, LLM Application

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning

  • Status: New
    Status: Free Trial

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Cloud Development, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Machine Learning, Statistical Analysis, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Supervised Learning, Dimensionality Reduction, Regression Analysis

  • Status: New
    Status: Free Trial

    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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Predictive Modeling, Data Visualization, Statistical Modeling, Feature Engineering, Data Science, Data Cleansing, Animation and Game Design

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Responsible AI, Machine Learning, Natural Language Processing

  • Status: New
    Status: Preview

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Data Manipulation, Statistical Modeling, Statistical Methods, Pandas (Python Package), Data Visualization Software

  • Status: New
    Status: Free Trial

    Skills you'll gain: Feature Engineering, Responsible AI, Strategic Decision-Making, Data-Driven Decision-Making, Data Ethics, Business Intelligence, Business Analytics, Natural Language Processing, LLM Application, Large Language Modeling, Artificial Intelligence, Predictive Analytics, Advanced Analytics, Data Governance, Predictive Modeling, Systems Integration, Business Strategy, Business Ethics, Workflow Management, Applied Machine Learning

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