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Data Science Tutorials

Advance your data career with our data science tutorials. We walk you through challenging data science functions and models step-by-step.

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 tháng 4, 2017

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 tháng 3, 2017

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 tháng 3, 2017

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 tháng 2, 2017

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 tháng 2, 2017

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 tháng 2, 2017

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 tháng 1, 2017

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 tháng 1, 2017

Learn Data Science - Infographic

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

Karlijn Willems

18 tháng 10, 2016

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.

Hugo Bowne-Anderson

26 tháng 4, 2016

The Data Science Industry: Who Does What (Infographic)

This infograph compares the roles of data scientists, data analysts, data architects, data engineers and more in the data science industry.

Karlijn Willems

10 tháng 11, 2015

Web Scraping with R and PhantomJS

Short tutorial on scraping Javascript generated data with R using PhantomJS.

Filip Schouwenaars

16 tháng 3, 2015