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Учебники по Data Science

Развивайте карьеру в области данных с нашими учебниками по data science. Мы пошагово разбираем сложные функции и модели.
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Custom Templates for Jupyter Notebooks with Jinja2

Learn how to create custom export templates for your Jupyter Notebooks using Jinja2.

Steph Howson

30 мая 2018 г.

How to Install and Use Homebrew

Discover Homebrew for data science. Learn how you can use this package manager to install, update, and remove technologies such as Apache Spark and Graphviz.
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DataCamp Team

23 мая 2018 г.

GFLASSO: Graph-Guided Fused LASSO in R

Explore graph-structured multi-task regression with the GFLASSO R package with this tutorial!
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Francisco Lima

26 апреля 2018 г.

Network Analysis in R: Centrality Measures

Explore the definition of centrality, learn what different types of centrality measures exist in network analysis and pick the best one for a given network!
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Minoo Ashtiani

17 апреля 2018 г.

Logistic Regression in R Tutorial

Discover all about logistic regression: how it differs from linear regression, how to fit and evaluate these models it in R with the glm() function and more!
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Vidhi Chugh

17 марта 2023 г.

Getting Started with the Tidyverse: Tutorial

Start analyzing titanic data with R and the tidyverse: learn how to filter, arrange, summarise, mutate and visualize your data with dplyr and ggplot2!
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Hugo Bowne-Anderson

10 апреля 2018 г.

Python Pickle Tutorial: Object Serialization

Discover the Python pickle module: learn about serialization, when (not) to use it, how to compress pickled objects, multiprocessing, and much more!
Natassha Selvaraj's photo

Natassha Selvaraj

13 декабря 2024 г.

Tidy Sentiment Analysis in R

Learn how to perform tidy sentiment analysis in R on Prince's songs, sentiment over time, song level sentiment, the impact of bigrams, and much more!
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Debbie Liske

29 марта 2018 г.

Object-Oriented Programming in Python: A Complete Guide

Learn the fundamentals of object-oriented programming in Python, including classes, objects, inheritance, encapsulation, and polymorphism.
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Théo Vanderheyden

19 февраля 2026 г.

K-Means Clustering in R Tutorial

Learn what k-means is and discover why it’s one of the most used clustering algorithms in data science
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Eugenia Anello

21 марта 2023 г.

Feature Selection in R with the Boruta R Package

Tackle feature selection in R: explore the Boruta algorithm, a wrapper built around the Random Forest classification algorithm, and its implementation!
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DataCamp Team

7 марта 2018 г.