Introduction DBSCAN is an important Clustering technique for Machine Learning (ML) and Data Science in general. DBSCAN falls under unsupervised learning, thus opening up more possibilities and increasing the range of applying data. This is especially true for information that ...

Introduction A Machine Learning Hackathon is a design sprint-style event in which programmers, coders, and others involved in the development of software — such as interface designers, project managers, domain experts, graphic designers, and others — work on projects intensively. ...

Introduction In the 21st century, we are surrounded by data. An individual, knowingly or unknowingly. generates tons of data each day. Some of the most common ways that you generate data are each time you scroll through your social media, ...

Introduction Hey! Am I the only one who likes to watch Netflix and chill on weekends? Certainly not, but have you ever wondered how Netflix and Amazon Prime Videos provide you movie recommendations depending on your taste? Seemingly, their recommendation ...

Introduction With the ingress of Hadoop in 2006, Apache gained momentum and began to deal with unstructured data such as audio, video, GIFs, machine learning training data, or data coming from the social media content, unapproved biological data. Over the ...

Introduction With the advent of automation and Artificial Intelligence (AI), we have gotten incredibly dependent on automated services and machine assistance. Machine Learning (ML) is one of the fundamental methods developers and data scientists use to power these machines, systems, ...

Introduction R and Python are great programming languages in their own right. With each having its set of benefits and specialties, the outcome of R vs Python in various conditions may differ as both of them have specific advantages they ...

Introduction When you look at the market today, there are two buzzwords on everybody’s mind- Artificial Intelligence (AI) and Machine Learning (ML). They have become a part of our everyday life and are often used interchangeably.  Both these trending technologies, ...

Introduction Machine Learning is a subfield of Artificial Intelligence that aims to provide machines with human-like capabilities. It is umbrella terms for a set of techniques that help computers learn to perform a task without being explicitly programmed. Machine Learning ...

Introduction Often Spark is mistaken for Hadoop by data analysts and data scientists and vice-versa, the two terms are distinct and have an extensively broad meaning. Although, the field of Spark is analogous to that of Hadoop, yet there is ...