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.
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1online degree
163courses

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Explore the Feature Engineering Course Catalog

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Data Pipelines, Cloud Platforms, Data Management, Data Governance, Workflow Management, Artificial Intelligence, Deep Learning, Applied Machine Learning, Machine Learning, Cloud Computing, Data Processing, Artificial Neural Networks

  • Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Keras (Neural Network Library), Statistical Methods, Data Transformation, Machine Learning

  • Status: Free Trial

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

  • Status: New
    Status: Free Trial

    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

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Pipelines, Data Transformation, MLOps (Machine Learning Operations), Data Processing, Keras (Neural Network Library), Machine Learning, Statistical Methods

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Tensorflow, Dataflow, Data Processing, Data Transformation, Keras (Neural Network Library), Data Modeling, Applied Machine Learning, Data Pipelines, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Data Processing, Dataflow, Data Transformation, Tensorflow, Data Pipelines, Keras (Neural Network Library), Data Modeling, Machine Learning, Statistical Methods

  • Status: New
    Status: Preview

    Skills you'll gain: Feature Engineering, SAS (Software), Classification And Regression Tree (CART), Predictive Modeling, Statistical Modeling, Regression Analysis, Predictive Analytics, Applied Machine Learning, Statistical Methods, Data Processing, Data Manipulation, Data Cleansing, Data Transformation, Statistical Analysis, Exploratory Data Analysis

  • Status: New

    Skills you'll gain: Time Series Analysis and Forecasting, Feature Engineering, Forecasting, Data-Driven Decision-Making, Trend Analysis, Predictive Modeling, Statistical Modeling, Statistical Analysis, Data Visualization, Exploratory Data Analysis, Data Processing, Sales Management, Pandas (Python Package), Jupyter

  • Status: Free Trial

    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

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Jupyter, NumPy, Graph Theory, Natural Language Processing, Python Programming, Data Processing

  • 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

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