R for Business Analytics – Introduction to Geographical Maps

Python for Business Analytics – groupby()

Python for Business Analytics – Chapter 8: Set

Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist Excel is a powerful tool that is widely used by data analysts to organize, analyze and present data in a meaningful way. One of the most common tasks that data analysts perform in Excel is to summarize data into meaningful statistics, such …

React JS for Beginners – Chapter 13: React.createClass vs extends React.Component

Free eBook – Machine Learning for Beginners

Data Science Project – Human Activity Recognition using Smartphone Data with Python.

DNA Sequencing with Machine Learning in Python – Human DNA dataset

GGPLOT LOG SCALE TRANSFORMATION This article describes how to create a ggplot with a log scale. This can be done easily using the ggplot2 functions scale_x_continuous() and scale_y_continuous(), which make it possible to set log2 or log10 axis scale. An other possibility is the function scale_x_log10() and scale_y_log10(), which transform, respectively, the x and y axis scales into a log scale: base …

TYPES OF CLUSTERING METHODS: OVERVIEW AND QUICK START R CODE Clustering methods are used to identify groups of similar objects in a multivariate data sets collected from fields such as marketing, bio-medical and geo-spatial. They are different types of clustering methods, including: Partitioning methods Hierarchical clustering Fuzzy clustering Density-based clustering Model-based clustering In this article, we …

A Practical approach to Simple Linear Regression using R Simple Linear Regression is a statistical method that allows us to summarize and study relationships between two continuous (quantitative) variables. One variable denoted x is regarded as an independent variable and other one denoted y is regarded as a dependent variable. It is assumed that …

Linear Regression Using Tensorflow Brief Summary of Linear Regression Linear Regression is a very common statistical method that allows us to learn a function or relationship from a given set of continuous data. For example, we are given some data points of x and corresponding y and we need to learn the relationship between them that is called …