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 …
Introduction Every word can be represented into N-Dimension Space after applying Machine Learning Algorithms on documents. The most famous algorithms …
We have explained how we can reduce the dimensions by applying the following algorithms: PCA and t-SNE Autoencoders We will …
Read moreNon-Negative Matrix Factorization for Dimensionality Reduction
Description This dataset contains the votes From Country to To Country for Eurovision 2016. There are the Jury Votes and …
Read moreHierarchical Clustering of Countries based on Eurovision Votes
Many times there is a need to define your distance function. I found this answer in StackOverflow very helpful and …
Read moreTip: How to define your distance function for Hierarchical Clustering
The logic Most images are an RGB array where we can easily apply K-Means Clustering. The Centers of each cluster …
We have provided an example of K-means clustering and now we will provide an example of Hierarchical Clustering. We will …
Python gives us the option to make xkcd style plots using the matplotlib library. For the plots we will use …
For Data Science positions that require some knowledge of Statistics and Programming skills, is common to ask questions like those …
Read moreR Exercises – Interview Questions (Stats and Simulation)
Differences Between Numpy Arrays and Python Lists There are some differences between Numpy Arrays and Python Lists. We will provide …
We are going to show how we can estimate card probabilities by applying Monte Carlo Simulation and how we can …