Introduction Kaggle is one of the largest communities of data scientists and machine learning experts. This platform includes over five million registered users, thousands of public datasets, and code snippets (also known as notebooks). Most importantly, it is being utilized ...

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 Hey! Are you active on social media? Most probably yes, right? So have you ever wondered how Instagram, Pinterest, and Facebook ad recommendations work? You recently searched for a highlighting pen that you wanted for some assignments, and you ...

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 We live in an era of constant technological progress which is backed by advances in the field of machine learning. Machine learning algorithms are highly automated, self-modifying and continue to improve over time with minimal human intervention. Machine learning ...

Introduction Often Big Data is mistaken for Data Science by data analysts and data scientists aspirants and vice-versa, the two terms are distinct and have an extensively broad meaning. Although, the field of Big Data is analogous to that of ...

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 To Data Scientist Skills With the increase in the amount of unstructured data such as audio, video, GIFs, machine learning training data, or data coming from the social media content, unapproved biological data, the need for data science was ...