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Matplotlib is one of the most widely used data visualization libraries in Python. Much of Matplotlib's popularity comes from its customization options - you can tweak just about any element from its hierarchy of objects. In this tutorial, we'll take a look at how to change a figure size in...
David Landup
This article is an introduction to kernel density estimation using Python's machine learning library scikit-learn. Kernel density estimation (KDE) is a non-parametric method for estimating the probability density function of a given random variable. It is also referred to by its traditional name, the Parzen-Rosenblatt Window method, after its discoverers....
Mehreen Saeed
Python is an incredibly versatile language, useful for a wide variety of tasks in a wide range of disciplines. One such discipline is statistical analysis on datasets, and along with SPSS, Python is one of the most common tools for statistics. Python's user-friendly and intuitive nature makes running statistical tests...
Dan Nelson
When we're trying to describe and summarize a sample of data, we probably start by finding the mean (or average), the median, and the mode of the data. These are central tendency measures and are often our first look at a dataset. In this tutorial, we'll learn how to find...
Leodanis Pozo Ramos
In computer science, data can be represented in a lot of different ways, and naturally, every single one of them has its advantages as well as disadvantages in certain fields. Since computers are unable to process categorical data as these categories have no meaning for them, this information has to...
Mila Lukic
Ensemble classification models can be powerful machine learning tools capable of achieving excellent performance and generalizing well to new, unseen datasets. The value of an ensemble classifier is that, in joining together the predictions of multiple classifiers, it can correct for errors made by any individual classifier, leading to better...
A commonly requested skill for software development positions is experience with NoSQL databases, including MongoDB. This tutorial will explore collecting data using an API, storing it in a MongoDB database, and doing some analysis of the data. However, before jumping into the code let's take a moment to go over...
Python has a wide variety of useful packages for machine learning and statistical analysis such as TensorFlow, NumPy, scikit-learn, Pandas, and more. One package that is essential to most data science projects is matplotlib. Available for any Python distribution, it can be installed on Python 3 with pip. Other methods...
Guest Contributor
The NumPy library is a popular Python library used for scientific computing applications, and is an acronym for "Numerical Python". NumPy's operations are divided into three main categories: Fourier Transform and Shape Manipulation, Mathematical and Logical Operations, and Linear Algebra and Random Number Generation. To make it as...
Usman Malik
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