Data Science Tutorials
Develop your data science skills with tutorials in our blog. We cover everything from intricate data visualizations in Tableau to version control features in Git.
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Moving Averages in pandas
Learn how you can capture trends and make sense out of time series data with the help of a moving or rolling average.
Aditya Sharma
2019년 6월 24일
Implementing Neural Style Transfer Using TensorFlow 2.0
In this tutorial, you'll learn how to implement power applications like Prisma using TensorFlow 2.0.
Sayak Paul
2019년 6월 21일
Histograms in Matplotlib
Learn about histograms and how you can use them to gain insights from data with the help of matplotlib.
Aditya Sharma
2019년 6월 17일
Demystifying Mathematical Concepts for Deep Learning
Explore basic math concepts for data science and deep learning such as scalar and vector, determinant, singular value decomposition, and more.
Avinash Navlani
2019년 6월 17일
Data Wrangling with INDEX-MATCH in Spreadsheets
In this tutorial, you will get an overview of how to use the INDEX-MATCH function in spreadsheets.
Francisco Javier Carrera Arias
2019년 6월 10일
Usage of Asterisks in Python
Many Python users are familiar with using asterisks for multiplication and power operators, but in this tutorial, you'll find out additional ways on how to apply the asterisk.
Hafeezul Kareem Shaik
2019년 6월 6일
How to Import JSON and HTML Data into pandas
To be an adept data scientist, one must know how to deal with many different kinds of data. Learn to read various formats of data like JSON and HTML using pandas.
Aditya Sharma
2019년 5월 31일
Ten Important Updates from TensorFlow 2.0
Go through the ten most important updates introduced in the newly released TensorFlow 2.0, and learn how to implement some of them.
Sayak Paul
2019년 5월 29일
Inventory Model Simulation with Spreadsheets
Learn how to use spreadsheets to calculate an inventory demand model that helps determine how much inventory a business should hold moving forward.
Avinash Navlani
2019년 5월 27일
Data Preparation with pandas
In this tutorial, you will learn why it is important to pre-process data and how to do it in pandas.
Sejal Jaiswal
2019년 5월 20일
Argument Parsing in Python
In this tutorial, learn how to parse one or more arguments from the command-line or terminal using the getopt, sys, and argparse modules.
Sayak Paul
2019년 5월 16일
How to Add, Subtract, Divide and Multiply in Spreadsheets
Learn how to apply operations like add, subtract, divide, multiply, and a lot more in Google Spreadsheets with the help of an actual dataset.
Aditya Sharma
2019년 5월 10일