### Linear Regression and Type I Error

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

[Read more...] 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

[Read more...]The fair premium in lottery games can be defined as the expected pay-off. For example, consider the game where you ... Read moreSt. Petersburg Paradox
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Back in 2001 when I entered university to study Statistics, our professor told us that “Statistics is a perfect way ... Read moreSimpson’s Paradox and Misleading Statistical Inference

[Read more...] I have been contacted by many people asking me to predict the outcome of some events that in theory are ... Read moreHow to Test for Randomness

[Read more...] We will provide you an example of how you can get the results of the Euroleague games in a structured ... Read moreHow to Scrape Data from Euroleague

[Read more...] We will provide you an example of how you can start building your predictive sport model, specifically for soccer, but ... Read moreHow to Build a Predictive Soccer Model

[Read more...] Most commonly a distribution is described by its mean and variance which are the first and second moments respectively. Another ... Read moreSkewness and Kurtosis in Statistics

[Read more...]When we are dealing with unbalanced classes in Machine Learning projects there are many approaches that you can follow. Just ... Read moreUndersampling by Groups in R
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Abstract Our goal is to provide some summary statistics of deaths across countries during the 1st Wave of Covid-19 and ... Read moreExcess Deaths during the 1st Wave of Covid-19

[Read more...] I have found the following commands quite useful during the EDA part of any Data Science project. We will work ... Read moreTidyverse Tips

[Read more...]Assume that you have a list and you want to get the n-th element of each component or generally to ... Read moreHack: The ‘[‘ in R lists
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When I run quires in SQL (or even HiveQL, Spark SQL and so on), it is quite common to use ... Read moreHack: The “count(case when … else … end)” in dplyr

[Read more...]When we share an R script file with someone else, we assumed that they have already installed the required R ... Read moreHack: How to Install and Load Packages Dynamically
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When we run an ANOVA, we analyze the differences among group means in a sample. In its simplest form, ANOVA ... Read moreANOVA vs Multiple Comparisons

[Read more...] The data that we want to get could be in different places and in different formats. We will provide some ... Read moreHow to get Data from Different Sources in R

[Read more...] Let’s say that we want to convert all Character Variables to Factors and we are dealing with a large data ... Read moreHack: How to Convert all Character Variables to Factors

[Read more...] A very common task in data processing is the transformation of the numeric variables (continuous, discrete etc) to categorical by ... Read moreHow to Convert Continuous variables into Categorical by Creating Bins

[Read more...] Compare Read and Write files time When we are dealing with large datasets, and we need to write many csv ... Read moreThe fastest way to Read and Writes file in R

[Read more...] Need to Connect R with SQL It is common for Data Analysts/Scientists to connect R with SQL. For that reason, ... Read moreHow to Connect R with SQL

[Read more...] Few words about Thompson Sampling Thompson Sampling is an algorithm for decision problems where actions are taken in sequence balancing ... Read moreMulti-Armed Bandit with Thompson Sampling

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