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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.

Другие темы:

Big DataData GovernanceMLOpsАнализ данныхВизуализация данныхГлубокое обучениеДата-инжинирингИИ для бизнесаМашинное обучение

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Hierarchical indices, groupby and pandas

In this tutorial, you’ll learn about multi-indices for pandas DataFrames and how they arise naturally from groupby operations on real-world data sets.

Hugo Bowne-Anderson

31 марта 2023 г.

Groupby, split-apply-combine and pandas

In this tutorial, you'll learn how to use the pandas groupby operation, which draws from the well-known split-apply-combine strategy, on Netflix movie data.

Hugo Bowne-Anderson

26 сентября 2017 г.

Poker Probability and Statistics with Python

Tackle probability and statistics in Python: learn more about combinations and permutations, dependent and independent events, and expected value.

Daniel Poston

21 сентября 2017 г.

Graph Optimization with NetworkX in Python

This NetworkX tutorial will show you how to do graph optimization in Python by solving the Chinese Postman Problem in Python.

Andrew Brooks

12 сентября 2017 г.

Detecting Fake News with Scikit-Learn

This scikit-learn tutorial will walk you through building a fake news classifier with the help of Bayesian models.

Katharine Jarmul

24 августа 2017 г.

Apache Spark Tutorial: ML with PySpark

Apache Spark tutorial introduces you to big data processing, analysis and ML with PySpark.

Karlijn Willems

28 июля 2017 г.

Scikit-Learn Tutorial: Baseball Analytics Pt 2

A Scikit-Learn tutorial to using logistic regression and random forest models to predict which baseball players will be voted into the Hall of Fame

Daniel Poston

20 июня 2017 г.

5 Tips to Write Idiomatic Pandas Code

This tutorial covers 5 ways in which you can easily write pandorable or more idiomatic Pandas code.

DataCamp Team

26 июня 2025 г.

Scikit-Learn Tutorial: Baseball Analytics Pt 1

A scikit-learn tutorial to predicting MLB wins per season by modeling data to KMeans clustering model and linear regression models.

Daniel Poston

4 мая 2017 г.

R

The R Graph Gallery's Top 5 Most Visited Graph Themes

A list of the 5 most popular graphs among R users and enthusiasts.

DataCamp Team

14 апреля 2017 г.

Data Analysis

Exploratory Data Analysis of Craft Beers: Data Profiling

In this tutorial, you'll learn about exploratory data analysis (EDA) in Python, and more specifically, data profiling with pandas.

DataCamp Team

13 апреля 2017 г.

Deep Learning

Deep Learning with Jupyter Notebooks in the Cloud

This step-by-step tutorial will show you how to set up and use Jupyter Notebook on Amazon Web Services (AWS) EC2 GPU for deep learning.

Dan Becker

23 марта 2017 г.