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.
58credentials
1online degree
180courses

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Explore the Feature Engineering Course Catalog

  • 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
    Status: Free Trial

    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, Supervised Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Python Programming, Statistical Analysis, Classification And Regression Tree (CART), Feature Engineering

  • Status: New
    Status: Preview

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Data Processing, Supervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Data Cleansing, Data Transformation, Statistical Analysis, Pandas (Python Package), NumPy

  • Status: Free Trial

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Tensorflow, Cloud Engineering, Data Lakes, Apache Spark, Data Infrastructure, Unstructured Data, Big Data, Applied Machine Learning, Real Time Data, Data Warehousing, Extract, Transform, Load, MLOps (Machine Learning Operations), Feature Engineering, Data Processing, PySpark, Cloud Storage, Data Storage

  • Skills you'll gain: Feature Engineering, Tensorflow, Data Pipelines, MLOps (Machine Learning Operations), Data Processing, Keras (Neural Network Library), Data Transformation, Machine Learning, Real Time Data, Scalability

  • Status: New
    Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Data Collection, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Continuous Monitoring

  • 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: Free Trial

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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

  • Status: New
    Status: Preview

    Skills you'll gain: Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Matplotlib, Jupyter, Python Programming, Data Processing, NumPy, Data Cleansing, Image Analysis, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

  • Status: New
    Status: Free Trial

    Skills you'll gain: Natural Language Processing, Keras (Neural Network Library), Generative AI, Generative Model Architectures, Artificial Neural Networks, Text Mining, Deep Learning, Tensorflow, Feature Engineering, Performance Testing, Machine Learning Methods, Data Processing, Data Transformation, Data Cleansing

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