Undergraduate Certificate in Feature Engineering Practices

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The Undergraduate Certificate in Feature Engineering Practices is a comprehensive course, designed to equip learners with essential skills for career advancement in the data science industry. This certificate program emphasizes the importance of feature engineering, a critical aspect of machine learning model development, often overlooked.

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Feature engineering plays a pivotal role in improving model accuracy and prediction capabilities. With the increasing demand for data-driven solutions across industries, there is a growing need for professionals who can effectively engineer features to derive meaningful insights from complex data sets. This course provides learners with practical experience in feature engineering techniques, enabling them to tackle real-world data challenges and stand out in the competitive job market. By enrolling in this program, learners can expect to gain hands-on experience with industry-standard tools and techniques, preparing them for success in roles such as data analyst, machine learning engineer, or data scientist.

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โ€ข Feature Engineering Fundamentals
โ€ข Data Preprocessing for Feature Engineering
โ€ข Feature Extraction Techniques
โ€ข Feature Selection and Dimensionality Reduction
โ€ข Advanced Feature Engineering Strategies
โ€ข Handling Missing and Duplicate Data in Feature Engineering
โ€ข Feature Engineering for Text and Natural Language Processing
โ€ข Feature Engineering for Time Series Data
โ€ข Evaluation Metrics for Feature Engineering

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
UNDERGRADUATE CERTIFICATE IN FEATURE ENGINEERING PRACTICES
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ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
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05 May 2025
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