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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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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.

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 basics of object-oriented programming in Python: classes, objects, attributes, and methods explained step by step with code examples.
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Théo Vanderheyden

28 мая 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.

Deploy your Facebook Messenger Bot with Python

A step-by-step guide to easily deploying a Facebook Messenger chatbot with Python, using Flask, requests and ngrok.
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Alan Nichol

28 февраля 2018 г.

Web Scraping in R: rvest Tutorial

Explore web scraping in R with rvest with a real-life project: extract, preprocess and analyze Trustpilot reviews with tidyverse and tidyquant, and much more!
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Arvid Kingl

27 февраля 2018 г.

Ensemble Learning in R with SuperLearner

Boost your machine learning results and discover ensembles in R with the SuperLearner package: learn about the Random Forest algorithm, bagging, and much more!
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Daniel Gremmell

20 февраля 2018 г.

Understanding Blockchains by Coding One in R

Implement a small blockchain in R and learn more about what a blockchain looks like and some of the core concepts behind it!
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Johannes Mueller

8 февраля 2018 г.