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
Latest
Applications of Exponential Distribution
The Exponential Distribution is the probability distribution of the time between events in a Poisson point process, i.e., a process
How to Rename and Relevel Factors in R
A “special” data structure in R is the “factors”. We are going to provide some examples of how we can
Applications of Poisson Distribution
The Poisson distribution is a discrete probability distribution that expresses the probability of a given number of events occurring in
PySpark: Logistic Regression with TF-IDF on N-Grams
This post is about how to run a classification algorithm and more specifically a logistic regression of a “Ham or
Binomial Distribution: Min Number of Shots Needed to Score at Least Once
For Data Science positions, the interviewers use to ask questions about probabilities which require some knowledge of statistics. Today, we
Blending Images with OpenCV
Most of us have noticed the “Facebook Rainbow Filter”. This is an example of “Blending Images” where we have the
The Expected Payoff of a Dice Game
In hiring process of Data Scientists positions, it is quite common to include some interview questions about probabilities. This post
Cards Probability Question
The following example could be a good interview question, so maybe it is worth reading it :). Let’s consider the
