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MSMd Shahriyar Al Mustakim Mitulmitul-shahriyar.hashnode.dev

Machine Learning : Dimensionality Reduction - Linear Discriminant Analysis (LDA) (Part 33)

Aug 8, 2024 · 2 min read · LDA is commonly used as a dimensionality reduction technique, It's used in the pre-processing step for pattern classification and machine learning algorithms, and its goal is to project a data set into a lower dimensional space. But what's the differ...

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Feature selection methods for Data Scientists

Mar 10, 2023 · 4 min read · Feature selection helps improve the performance of machine learning models by identifying the most relevant and informative features in a dataset. By only selecting the most relevant features, data scientists can reduce the risk of overfitting, which...

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Machine Learning : Dimensionality Reduction - Linear Discriminant Analysis (LDA) (Part 33)

Feature selection methods for Data Scientists