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.
49credentials
1online degree
164courses

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Explore the Feature Engineering Course Catalog

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming

  • Status: Preview

    Skills you'll gain: Machine Learning Algorithms, Supervised Learning, Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Data Validation, Algorithms, Applied Machine Learning, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Verification And Validation, Regression Analysis, Dimensionality Reduction, Test Data, Data Transformation

  • Status: Free Trial

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Cloud API, Feature Engineering

  • Status: Preview

    Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Statistical Machine Learning, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Data Cleansing, Predictive Analytics, No-Code Development, Statistical Programming, Performance Tuning

  • Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Generative AI, Natural Language Processing, Data Ethics, Text Mining, Artificial Neural Networks, Deep Learning, Feature Engineering, Statistical Methods

  • Status: Free Trial

    Fractal Analytics

    Skills you'll gain: Data Storytelling, Decision Making, Critical Thinking, Database Design, Data Manipulation, Data Presentation, Power BI, Data Visualization, Exploratory Data Analysis, Feature Engineering, Interactive Data Visualization, Data Analysis Expressions (DAX), Human Centered Design, Storyboarding, SQL, Applied Machine Learning, Data Modeling, Machine Learning, Problem Solving, Python Programming

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Anomaly Detection, Generative AI, Fraud detection, Intrusion Detection and Prevention, Malware Protection, Continuous Monitoring, Cybersecurity, Threat Detection, Cyber Threat Intelligence, Feature Engineering, Network Analysis, Cyber Security Strategy, Threat Modeling, Email Security, System Design and Implementation, Network Security, Jupyter, Authentications, Deep Learning, Machine Learning Software

  • Status: Free Trial

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis

  • Status: Free Trial

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, R Programming, Data Manipulation, Data Visualization, Predictive Analytics, Statistical Analysis, Data Science, Regression Analysis, Predictive Modeling, Statistical Modeling, Feature Engineering, Machine Learning Methods

  • Status: Preview

    The State University of New York

    Skills you'll gain: Bioinformatics, Big Data, Analytics, Data Mining, Health Informatics, Biomedical Technology, Data Processing, R Programming, Predictive Modeling, Statistical Analysis, Molecular Biology, Feature Engineering, Network Analysis, Unsupervised Learning

  • Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Dimensionality Reduction, Performance Metric

  • Status: Free Trial

    Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Statistics, R Programming, Predictive Modeling, Statistical Analysis, Feature Engineering, Probability & Statistics, Data Wrangling, Statistical Inference, R (Software), Data Cleansing, Public Health

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