I have started a series of articles on tips and tricks for data scientists (mainly in Python and R). In ... Read more10 Tips and Tricks for Data Scientists Vol.3

We have started a series of articles on tips and tricks for data scientists (mainly in Python and R). In ... Read more10 Tips and Tricks for Data Scientists Vol.2

In this post, we will provide an example of how you can detect changes in the distribution across time. For ... Read moreDetect the Changes in Timeseries Data

We have provided an example of how to get started with predictive models for NBA Games. In this post, we ... Read morePredict Basketball Games with Log5 formula

We have written many posts related to stocks. A good way to represent the stock prices as time series is ... Read moreCandlestick Charts in R

In this tutorial, we will work with the factoextra R package and we will consider the Country dataset. Let’s start: ... Read moreHow to Visualize Multivariate Data Analysis

Introduction In this tutorial, we will provide an example of how you can build a starting predictive model for NBA ... Read moreHow to Build a Predictive Model for NBA Games

In many cases, there is a need to split a userbase into 2 or more buckets. For example: UCG: Many ... Read moreHow to Split Randomly a Userbase using Modulo

As a Data Scientist, you may work in both R and Python and it is common to prefer one language ... Read moreHow to Share Flask APIs with Shiny as Applications

In a previous post, we have provided an example of Rolling Regression in Python to get the market beta coefficient. ... Read moreRolling Regression and Pairs Trading in R

We have provided an example of how to Build and Deploy a Machine Learning Web App using Python and Flask. ... Read moreHow to Share your Machine Learning Models with Shiny

In 2020, the guru Hadley Wickham, built a new package called waldo for comparing complex R objects and making it ... Read moreHow to Compare Objects in R

Data Scientists use to work with notebooks like Jupyter and RMarkdown. Through notebooks, they can easily share their analysis in ... Read moreHow to Share your Notebooks as static websites with AWS S3

Introduction Statistical arbitrage trading is a quantitative and computational approach to equity trading which is widely applied by hedge funds ... Read moreExample of Pairs Trading

We will show how we can price the European Options with Monte Carlo simulation using R. Recall that the European ... Read morePricing of European Options with Monte Carlo

A common way to represent and analyze categorical data is through contingency tables. In this tutorial, we will provide some ... Read moreContingency Tables in R

Linear Regression Linear regression is a basic approach to modelling the linear relationship between a dependent variable y and one ... Read moreLinear Regression and Type I Error