Challenge: This article shows how to sort a Python list using the key argument that takes a function object as an argument. Quick Solution: You can use the lambda function to create the function on the fly as shown in the following example: Explanation: The code uses the key argument and passes a lambda function … Read more
This article presents different types of widgets that can be embedded within a matplotlib figure, in order to create and personalize highly interactive plots. Exploiting the matplotlib package .widget(), it is hence possible to create personalized buttons that allows controlling different properties of the graphs that are plotted in the main window. This represents a … Read more
Have a little time to learn Tensorflow 2.0 with your Machine Learning? In this article, I have put together the 10 best Tensorflow cheat sheets for you to hang on the wall above your desk. Whenever you need a reference, keep these handy cheat sheets available!! Cheat Sheet 1: BecomingHuman.AI becominghuman.ai has multiple cheat sheets … Read more
This tutorial will show you everything you need to get started training your first models using decision tree learning in Python. To help you grasp this topic thoroughly, I attacked it from different perspectives: textual, visual, and audio-visual. So, let’s get started! Why Decision Trees? Deep learning has become the megatrend within artificial intelligence and … Read more
Do you need a little help learning Scikit-Learn in Python? Or maybe you just finding it hard to remember all the different commands to perform different operations? All of those formulas can be confusing and hard to remember. Have no fear!! I have put together 10 of the Best Python Scikit-Learn cheat sheets for you … Read more
Large companies analyze massive amounts of data coming from various sources such as social nets, weblogs, or customers. An important class of data analytics concerns large-scale set operations. Suppose you have two customer data sets A and B. Set A contains all customers who bought in 2017. Set B contains all customers who bought in … Read more
Matplotlib with Python is the most powerful combination in the area of data visualization and data science. This guide takes 25 minutes of your time—if you watch the videos, it’ll take you 2-4 hours. But it will be a great investment of your time because it’ll make you a better coder and more effective data … Read more
This article describes how to generate interactive plots by using the .widgets package from the matplotlib library. As can be inferred from the name, the .widgets package allows creating different types of interactive buttons, which can be used for modifying what is displayed in a matplotlib graph. In particular, this article will focus on the … Read more
NumPy is a popular Python library for data science. Numpy focuses on array, vector, and matrix computations. If you work with data, you cannot avoid NumPy. So learn it now and learn it well. In this tutorial, you’ll learn how to calculate the Hadamard Product (= element-wise multiplication) of two 1D lists, 1D arrays, or … Read more
This article deals with the analysis and processing of signals, more specifically on how to identify and calculate the peaks contained in a given signal. Motivation Being able to identify and hence work with the peaks of a signal is of fundamental importance in lots of different fields, from electronics to data science and economics. … Read more
Data visualization is an important toolkit for a data scientist. Building beautiful dashboards is an important skill to acquire if you plan to show your insights to a C-Level executive. In this blog post, you will get an introduction to a visualization framework in Python. You will learn how to build a dashboard from fetching … Read more