Occasionally, as a member in a team or as a self-employed person you have to keep the stages of various projects in mind. More and more in our work life, the possibility to only concentrate on a single task becomes the exception rather than the rule. This raises the question
The word "Java" has become so ubiquitous that even non-technical folks seem to be aware of it these days. Thanks to the tremendous popularity of the programming language, its growth across various domains has been unprecedented.
The major reason behind the language's success is in its platform independent nature.
Hierarchical clustering is a type of unsupervised machine learning algorithm used to cluster unlabeled data points. Like K-means clustering, hierarchical clustering also groups together the data points with similar characteristics. In some cases the result of hierarchical and K-Means clustering can be similar. Before implementing hierarchical clustering using Scikit-Learn, let's
When studying Probability & Statistics, one of the first and most important theorems students learn is the Bayes' Theorem. This theorem is the foundation of deductive reasoning, which focuses on determining the probability of an event occurring based on prior knowledge of conditions that might be related to the event.
One of the most common problems that we face in software development is handling dates and times. After getting a date-time string from an API, for example, we need to convert it to a human-readable format. Again, if the same API is used in different timezones, the conversion will