数据科学教程

This article covers what Notebooks are and why you should use them. We also delve into hosted notebooks, which facilitate sharing and collaboration. This article also covers tips, tricks, and keyboard shortcuts.

In this tutorial, you will get acquainted with the bias-variance trade-off problem in linear regression and how it can be solved with regularization.

In this tutorial, you'll learn how to perform the chi-square test in spreadsheets.

Learn how to transform and load (ETL) a data pipeline from scratch using R and SQLite to gather tweets in real-time and store them for future analyses.

Learn the basics in Scala including syntax, how to set up an environment, and various common data types.

In this tutorial, you'll learn how to use and write with different markup tags using Jupyter Notebook.

Learn how to use and modify SQL tables within JupyterLabs.

Learn how to implement For Loops in Python for iterating a sequence, or the rows and columns of a pandas dataframe.

Learn how to easily cluster your data in Tableau with its built-in clustering tool.

Explore basic math concepts for data science and deep learning such as scalar and vector, determinant, singular value decomposition, and more.

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.

Learn how to use spreadsheets to calculate an inventory demand model that helps determine how much inventory a business should hold moving forward.