Estimate Probabilities of Card Games
We are going to show how we can estimate card probabilities by applying Monte Carlo Simulation and how we can
Monte Carlo Integration in Python
We will provide examples of how you solve integrals numerically in Python. Let’s recall from statistics that the mean value
How to deal with Dates in Texts using Python
One of the most difficult tasks in data processing and cleansing is to handle dates. The main problem is that
How to Apply Text Distances and Fuzzy Joins
Edit Distance for measuring the Text Distance Today we will talk about text similarities and how we can “calculate” a
How to build Stacked Ensemble Models in R
At this post, we will show you how you easily apply Stacked Ensemble Models in R using the H2O package.
How to determine the number of Clusters for K-Means in R
We will work with the Breast Cancer Wisconsin dataset, where we will apply the K-Means algorithm to the individual’s features ignoring the
R: How To Assign Values Based On Multiple Conditions Of Different Columns
In the previous post, we showed how we can assign values in Pandas Data Frames based on multiple conditions of
Pandas: How to assign values based on multiple conditions of different columns
When we are dealing with Data Frames, it is quite common, mainly for feature engineering tasks, to change the values
Python list comprehension cheat sheet
Python’s list comprehension is a very useful asset for a programmer and a reason for us to love Python. It’s
How to use Google Translate using Python
All of us are aware of Google Translate. Today, we will provide examples of how we can use the googletrans
How to Impute Missing Values in R
In the real data world, it is quite common to deal with Missing Values (known as NAs). Sometimes, there is
