My Journey as a Data Science Blogger
Μy Background My Studies Back in 2001, I entered university to study Statistics. During my first year, I ran my
How to Create a Powerful TF-IDF Keyword Research Tool
We are at the age of digital marketing and now the words are more important than ever. One of the
How to run Chi-Square Test in Python
We will provide a practical example of how we can run a Chi-Square Test in Python. Assume that we want
GloVe Word Embeddings on Plot of the Movies
Introduction Every word can be represented into N-Dimension Space after applying Machine Learning Algorithms on documents. The most famous algorithms
Non-Negative Matrix Factorization for Dimensionality Reduction
We have explained how we can reduce the dimensions by applying the following algorithms: PCA and t-SNE Autoencoders We will
Hierarchical Clustering of Countries based on Eurovision Votes
Description This dataset contains the votes From Country to To Country for Eurovision 2016. There are the Jury Votes and
Tip: How to define your distance function for Hierarchical Clustering
Many times there is a need to define your distance function. I found this answer in StackOverflow very helpful and
Get the Dominant Colors of an Image with K-Means
The logic Most images are an RGB array where we can easily apply K-Means Clustering. The Centers of each cluster
Hierarchical Clustering in Python
We have provided an example of K-means clustering and now we will provide an example of Hierarchical Clustering. We will
How to make hand-drawn style plots in Python
Python gives us the option to make xkcd style plots using the matplotlib library. For the plots we will use
R Exercises – Interview Questions (Stats and Simulation)
For Data Science positions that require some knowledge of Statistics and Programming skills, is common to ask questions like those
