Articles on Data Analytics

Market basket analysis determines what products are purchased together. An approach using Python and Pandas to perform this retail analysis.

Forecasting with Random Forests is possible with the proper setup.

For years I've used the mysql-python library for connecting to mysql databases.  It's worked well for me over the years but there are times when you need

Using LIME (Local Interpretable Model-agnostic Explanations) in Python to provide visual explanations of your classification and regression models.

This is the fourth in a series of posts about using Forecasting Time Series data with Prophet. The other parts can be found here: Forecasting Time Series

Collecting / Storing Tweets with Python and MongoDB provides a script that can be used to collect and store tweets using python and mongoDB

Using dask, you can easily work with large data sets including large CSV files without loading the data into memory via out-of-core computations.

When working wth large CSV files in Python, you can sometimes run into memory issue. Using pandas and sqllite can help you work around these limitations.

Why Python became my go-to tool for data analytics over R and Excel, plus the modules that make it possible.