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コース Fruit EDA, Clustering, and Classification - 修了証付きオンライン学習
python

Fruit EDA, Clustering, and Classification

Arsenii Drobotenko

Python

5 Chapters

0 Studying now

A hands-on, notebook-driven case study for exploring, clustering, and classifying fruits based on their chemical properties. You will perform exploratory data analysis, preprocess features, apply unsupervised clustering, build a classification model, and identify key chemical markers—all using strictly linear code (no function definitions).

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コースの説明

A hands-on, notebook-driven case study for exploring, clustering, and classifying fruits based on their chemical properties. You will perform exploratory data analysis, preprocess features, apply unsupervised clustering, build a classification model, and identify key chemical markers—all using strictly linear code (no function definitions).

技術

Python

言語

En

評価

5

EDA & Visualization

Data Preprocessing

Unsupervised Clustering

Classification Model

Chemical Markers Identification

0%

EDA & Visualization

Data Preprocessing

Unsupervised Clustering

Classification Model

Chemical Markers Identification

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