Skillslash

    If you’re looking to become a data analyst, there’s no better time than now!   Whether you're a beginner or an experienced pro, practical data analytics projects are a great way to learn and grow. Projects give you the tools you need to understand concepts, solve problems, and show your skills to employers or clients.   Here, we’ve put together a list of the top 20 projects for everyone, from beginners to experts, so you get started on your data science careers and journeys. Whether you’re looking to predict stock prices, analyze customer behavior, or detect fraud, these projects will help you make informed decisions, unlock hidden insights, and unlock the full potential of your data analytics.   So, let’s dive into it, and see what amazing projects can help turn you into a data analyst.   What are Data Analytics Projects ?   What is a data analytics project? A data analytics project is the process of systematically analyzing data to gain valuable insi

A* Algorithm: the GPS of Computer Science   A* algorithm is one of the most popular pathfinding algorithms in computer science and AI. A* is an intelligent search algorithm that uses heuristic data to find the shortest way between two points on a graph.   In this article, we will explore the basics of A* and give you a detailed Python implementation.   1. Introduction   Invented in 1968, the A* algorithm is a fundamental element in the solution of pathfinding issues. It is employed in various applications, including video games, robotics, GPS navigation, and network routing. The name "A*" translates to "A star," indicating its capacity to efficiently locate the most suitable path.   2. Basic Concepts   2.1 Graphs and Nodes   At the core of the A* algorithm is a graph. A graph is a data structure that consists of nodes and edges. In the context of pathfinding, nodes represent points in a map or a network, and edges represent the connecti

    In this era of Artificial Intelligence, deep learning has been at the front of some of the most remarkable technological developments of our era.   From autonomous vehicles and personalized healthcare to natural language processing and machine learning, deep learning has revolutionized the way in which machines are learning and making decisions.   In order to understand and walk along the journey of deep learning, neural networks and the intricate algorithms, it is essential today to have a solid foundation in place.   What better way to build such a foundation than through books? This article presents a list of the top 10 Deep Learning books you need to add to your reading list.   These books are suitable for all levels of learners and readers, from those who wish to learn the fundamentals of deep learning to those working towards being up-to-date and refreshing their knowledge constantly; Whether you are a student, researcher, professional, or a common man wa