For this machine learning process this notebook used a stratifed sampled data from the fraud and non fraud group, this notebook only contain 10% of data out of the entire population, for future ...

Abstract: As the field of machine learning continues to advance, the importance of effective exploratory data analysis (EDA) cannot be overstated, especially in the context of classification problems.

In practice, exploratory data analysis combines graphics and descriptive statistics. In a highly cited book chapter, Tukey uses R to explore the 1990s Vietnamese economy with histograms, kernel ...

The paper discusses a new concept combining the potentialities of Big Data processing as well as machine learning developed for security monitoring of mobile Internet of Things. The structure of the ...

Retail Sales Forecast employs advanced machine learning techniques, prioritizing careful data preprocessing, feature enhancement, and comprehensive algorithm assessment and selection. The streamlined ...

Exploratory Data Analysis for Machine Learning: Udemy . This Udemy course is for beginners and teaches the basics of exploratory data analysis– multicollinearity, identifying the relationship between ...

This powerful, web-based integrated development environment (IDE) provides a flexible and interactive workspace for performing data analysis, machine learning, and visualization, making it ...