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Koki Esaki

Backend Engineer Venturing into Machine Learning

Education

Curtin University

Work

Software & MLOps Engineer

Brushing Up on k-NN for Classification in Python: Theory to Practice

Brushing Up on k-NN for Classification in Python: Theory to Practice

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3 min read

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Exploring Gradient Descent Variants, and Fundamentals of Implementation

Exploring Gradient Descent Variants, and Fundamentals of Implementation

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4 min read
Brushing Up on Logistic Regression in Python: Theory to Practice

Brushing Up on Logistic Regression in Python: Theory to Practice

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10 min read
Deciphering Standardization and Normalization: Understanding Feature Scaling Techniques

Deciphering Standardization and Normalization: Understanding Feature Scaling Techniques

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3 min read
Brushing Up on Linear Regression in Python: Theory to Practice

Brushing Up on Linear Regression in Python: Theory to Practice

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8 min read
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