VSCode Visual Studio Code (VSCode) is a good tool for machine learning and data science. It has many features that make it a suitable choice for these tasks, including: Integrated…
Before jumping into the field of data science, it's important to understand the following key concepts and skills: Programming: Data scientists use programming languages such as Python and R to…
Linear algebra plays a fundamental role in data science. It is used in many areas such as linear regression, principal component analysis (PCA), singular value decomposition (SVD), eigendecomposition, and more.…
Lets find the solution by combining dots. Solution Dots: Dot 1 : is PCA based on SVD? Yes, Principal Component Analysis (PCA) is based on the Singular Value Decomposition (SVD)…
os.path os.path is a module in the standard library of Python that provides functions for interacting with the file system. The os.path module provides a wide range of functions to…
If you haven’t already heard about the latest news in drone technology, you should know that reinforcement learning algorithms are making drones smarter than ever before. Developed by Greg Brockman,…
What’s the difference between virtual reality and augmented reality? It might seem like semantics, but it’s important to understand that the two are not the same thing. Virtual reality (VR)…
Data scraping refers to the process of acquiring data from websites and online sources for data analytics and data science purposes. It can be done by hand or with automated…
A data scientist, also known as a data analyst or a data engineer, is someone who can extract valuable insights from massive amounts of raw data. Though most often associated…
What do data science, big data, and data engineering have in common? If you’re like most people, you’ve probably never heard of these terms before (and definitely not together). But…