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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Python

Python Exploratory Data Analysis Tutorial

Learn the basics of Exploratory Data Analysis (EDA) in Python with Pandas, Matplotlib and NumPy, such as sampling, feature engineering, correlation, etc.

Karlijn Willems

15 марта 2017 г.

Python

Python Dictionary Tutorial

In this Python tutorial, you'll learn how to create a dictionary, load data in it, filter, get and sort the values, and perform other dictionary operations.

DataCamp Team

16 февраля 2017 г.

Algorithmic Trading in R Tutorial

In this R tutorial, you'll do web scraping, hit a finance API and use an htmlwidget to make an interactive time series chart to perform a simple algorithmic trading strategy

Ted Kwartler

9 февраля 2017 г.

Python

Scipy Tutorial: Vectors and Arrays (Linear Algebra)

A SciPy tutorial in which you'll learn the basics of linear algebra that you need for machine learning in Python, with a focus how to with NumPy.

Karlijn Willems

8 февраля 2017 г.

Web Scraping and Parsing Data in R | Exploring H-1b Data Pt. 1

Learn how to scrape data from the web, preprocess it and perform a basic exploratory data analysis with R

Ted Kwartler

12 января 2017 г.

15 Easy Solutions To Your Data Frame Problems In R

Discover how to create a data frame in R, change column and row names, access values, attach data frames, apply functions and much more.

Karlijn Willems

10 января 2017 г.

Data Science

Learn Data Science - Infographic

Start your data science journey now and follow these 8 steps to learn data science.

Karlijn Willems

18 октября 2016 г.

Python

Preprocessing in Data Science (Part 1): Centering, Scaling, and KNN

This article will explain the importance of preprocessing in the machine learning pipeline by examining how centering and scaling can improve model performance.