Tag: data science

Total 15 Posts

Kernel Density Estimation in Python Using Scikit-Learn

Introduction

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

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Deep Learning in Keras - Data Preprocessing

Introduction

Deep learning is one of the most interesting and promising areas of artificial intelligence (AI) and machine learning currently. With great advances in technology and algorithms in recent years, deep learning has opened the door to a new era of AI applications.

In many of these applications, deep learning

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Statistical Hypothesis Analysis in Python with ANOVAs, Chi-Square, and Pearson Correlation

Introduction

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

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