Seaborn is an easy-to-use data visualization library in Python. Installation is simple with PIP or Mamba, and importing datasets is effortless. Seaborn can quickly create histograms, scatter plots ...

Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

Though more complicated as it requires programming knowledge, Python allows you to perform any manipulation, transformation, and visualization ... (data=flights_data, x="year", y="passengers ...

Connect to a database containing customer transaction data to analyze purchasing behavior. Use Python to segment customers based on their buying patterns and preferences. Visualize the results in ...

When I refer to Python, I don’t mean to use a dedicated Python app in favor of Excel. Of course, it comes with several ...

When doing data analysis, I prefer to use Jupyter notebooks as they ... a simple approach to do this here. Let’s see how to automate it with Python. You get ‘66.249.66.1’, which shows ...

Even with only 20 items, it's difficult to see any pattern. [Click on image for larger view.] Figure 1. Clustering Using ... display(raw_data, clustering, k) print("\nEnd k-means demo ") if __name__ ...

you will learn how to analyze and visualize data and build machine-learning models using Python, SQL, and open-source tools and libraries. This curriculum includes nine lessons and one capstone ...

Clustering data is the process of grouping items so that items ... The demo code was written using the Anaconda 4.1.1 distribution (Python 3.5.2 and NumPy 1.14.0), but there are no significant ...

We also highlight key use cases in sectors like healthcare, finance, and business and discuss popular tools like Microsoft BI, Apache, and Python. SEE: What Is Data Mining? (TechRepublic ...