Item-Based Collaborative Filtering in Python
In another post, we explained how we can easily apply advanced Recommender Systems. In this post we will provide an
How to run Recommender Systems in Python
A Brief Introduction to Recommender Systems Nowadays, almost every company applies Recommender Systems (RecSys) which is a subclass of information
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KENO: Highway Robbery
Keno is a popular lotter-like gambling game where there are 80 numbers (from 1 to 80) and in every draw
Cumulative Count Distinct Values
Sometimes there is a need to do a rolling count of the distinct values of a list/vector. In other words
Estimate Pi with Monte Carlo
One method to estimate the value of \(\pi\) is by applying the Monte Carlo method. Let’s consider a circle inscribed
Count the Consecutive Events in R
When we are dealing with Financial Assets, Sports Analytics, Gambling Games etc, usually there is a need to keep track
Dimension Reduction in Python
In statistics and machine learning is quite common to reduce the dimension of the features. There are many available algorithms
How to schedule a Cron Job in Linux
Many times there is a need to run a script in our server periodically. We can schedule our work using
Confidence vs Credible Intervals for Proportions
In Frequentist Statistics we communicate the Confidence Intervals where in Bayesian Statistics we communicate the Credible Intervals. In this post
K-Means Elbow Method code for Python
K-Means is an unsupervised machine learning algorithm that groups data into k number of clusters. The number of clusters is
Orthogonal Arrays with R
Whenever we are able to control the way the data is serving we should take an advantage. For example in
