Data Science Tutorials

In this tutorial, you're going to learn how to implement customer segmentation using RFM(Recency, Frequency, Monetary) analysis from scratch in Python.

In this tutorial, you will learn how to analyze and display data using Tableau and make better, more data-driven decisions.

In this tutorial, you will learn how to use a very unique library in python, TPOT. The reason why this library is unique is that it automates the entire Machine Learning pipeline and provides you with the best performing machine learning model.

Learn how to join and merge DataFrames in pandas using concat(), merge(), and join() with practical examples.

Learn to visualize high-dimensional data in a low-dimensional space using a nonlinear dimensionality reduction technique.

In this tutorial, you shall work with lists and learn an efficient way to divide arbitrarily sized lists into chunks of a given size.

In this tutorial, you'll learn about Tensors, PyTorch, and how to create a simple neural network with PyTorch.

There is an optimal number of hidden layers and neurons for an artificial neural network (ANN). This tutorial discusses a simple approach for determining the optimal numbers for layers and neurons for ANN's.

Master SQL for Data Reporting & daily data analysis by learning how to select, filter & sort data, customize output, & how you can report aggregated data from a database!

In this tutorial, you'll learn what ensemble is and how it improves the performance of a machine learning model.

Learn to use data visualization tools provided by the VIM package to gain quick insights into the missing data patterns.

Learn linear algebra through code and visualization.