Data Science

Data Science

A First Introduction

Campbell, Trevor; Timbers, Tiffany; Lee, Melissa

Taylor & Francis Ltd

07/2022

456

Mole

Inglês

9780367524685

15 a 20 dias

884

Descrição não disponível.
1. R and the tidyverse, 2. Reading in data locally and from the web, 3. Cleaning and wrangling data, 4. Effective data visualization, 5. Classification I: training & predicting, 6. Classification II: evaluation & tuning, 7. Regression I: K-nearest neighbors, 8. Regression II: linear regression, 9. Clustering, 10. Statistical inference, 11. Combining code and text with Jupyter, 12. Collaboration with version control, 13. Setting up your computer
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Jupyter Notebooks;machine learning;unsupervised learning;data mining;Data Frame;KNN Classification;Scatter Plot;Version Control;Tidy Data;Bar Plots;House Sale Price;Plain Text Files;Data Frame Object;Plain Text Editor;Ggplot Function;Test Data Set;House Size;Neighbors Classification;Training Data;Straight Line Distance;Apartment Listings;Tabular Data;Filter Rows;Select Function;Merge Conflict;Remote Repository;Airbnb Listings;Multivariable Linear Regression