Undergraduate Certificate in Accelerating Feature Engineering

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The Undergraduate Certificate in Accelerating Feature Engineering is a comprehensive course designed to equip learners with essential skills in feature engineering, a critical aspect of data science and machine learning. This certificate program emphasizes the importance of feature engineering in improving machine learning model performance and reducing model bias.

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AboutThisCourse

With the increasing demand for data-driven decision-making in various industries, there is a high demand for professionals with expertise in feature engineering. This course provides learners with hands-on experience in feature engineering techniques, including data preprocessing, feature selection, and feature transformation, using popular programming languages such as Python and R. Upon completion of the course, learners will have a solid foundation in feature engineering, enabling them to advance their careers in data science, machine learning, and artificial intelligence. The course also provides a pathway for learners to pursue further education in data science and related fields.

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CourseDetails

โ€ข Feature Engineering Fundamentals
โ€ข Data Preprocessing for Feature Engineering
โ€ข Feature Engineering Techniques with Pandas
โ€ข Advanced Feature Engineering with Scikit-learn
โ€ข Feature Selection and Dimensionality Reduction
โ€ข Time Series Feature Engineering
โ€ข Text Feature Engineering
โ€ข Image Feature Engineering
โ€ข Evaluating Feature Engineering Strategies

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EntryRequirements

  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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  • NotRegulatedAuthorized
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FastTrack GBP £140
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
  • EarlyCertificateDelivery
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StandardMode GBP £90
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FlexibleLearningPace
  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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  • DigitalCertificate
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UNDERGRADUATE CERTIFICATE IN ACCELERATING FEATURE ENGINEERING
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London School of International Business (LSIB)
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05 May 2025
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