The Pandas apply() function allows you to run custom functions on the values in a Series or column of your Pandas dataframe. The Pandas apply function can be used for...
The Pandas describe() function generates descriptive statistics on the contents of a Pandas dataframe to show the central tendency, shape, distribution, and dispersion of variables. Examining descriptive statistics is the...
Time series forecasting uses machine learning to predict future values of time series data. In this project we’ll be using the Neural Prophet model to predict future values of Google...
Web scraping is a programming technique that uses a script or bot to visit one or more websites and extract specific elements or HTML tags from the source code of...
There are two main ways you can grow the customer base of a business: you can either acquire more customers by increasing your customer acquisition rate, or you can improve...
Most off-the-shelf SEO tools come with a rank checker that allows you to monitor your position for given phrases in the Google search engine results. If you want to create...
Most ecommerce websites use review platforms, such as Feefo, Trustpilot, and Google Reviews, to allow customers to give feedback on their service and the products they sell. The reviews help...
One common task you’ll perform in Google Search Console is to compare the data from two different time periods to see how impressions, clicks, click-through rate (CTR), or average position...
The Google Cloud Platform offers a variety of ways for users, or applications, to authenticate themselves in order to gain access to data. For Python developers, one of the most...
