Spatial Intelligence is the capacity to manipulate, perceive, and reason about spatial dimensions and relationships. In AI, spatial intelligence refers to the capability of algorithms and systems to process and understand the physical space around them. In this article, we are going to explore more about Spatial Intelligence and AI....

Machine learning is a subfield of artificial intelligence that deals with the creation of algorithms that can learn and improve themselves without explicit programming. One of the most critical factors that contribute to the success of a machine learning model is the quality and quantity of data used to train it. Passive learning and active learning are two approaches used in machine learning to acquire data....

Excel is a powerful tool that Data Analysts use to transform raw data into actionable insights, aiding decision-making and business success. Analysts play a detective-like role, identifying patterns and interpreting trends to convey complex data in a straightforward manner....

The Banking and Finance sector is a dynamic area of business where Data Science Projects are extensively used in making strategic decisions, minimizing risks, and improving customer service. Data Science Projects in Banking and Finance have become important within this vibrant ecosystem. These projects combine statistics, mathematics, and computer science in a way that changed the industry for the better. In this article, we will zoom in on innovative Data Science Projects Laying the foundation for the Banking and Finance of the future, discussing what they aim for, their methodologies, and their potential to shape the field....

The exponential growth in data in recent times has made it imperative for organizations to leverage automation in their data analytics workflows. Data analytics helps uncover valuable insights from data that can drive critical business decisions. However, making sense of vast volumes of complex data requires scalable and reliable automation tools....

Python has become incredibly popular worldwide, especially in the field of data science. In fact, StackOverflow’s 2022 Developer Survey ranked Python as the fourth most popular technology and the third most desired technology for developers to learn. This is because Python offers a wide range of tools, frameworks, and libraries that are invaluable for various data science applications and beyond....

The term “hallucination” takes on a new and exciting meaning in artificial intelligence (AI). Unlike its meaning in human psychology, where it relates to misleading sensory sensations, AI hallucination refers to AI systems generating imaginative novel, or unexpected. These outputs frequently exceed the scope of training data....

Ordinary Least Squares (OLS) Regression allows researchers to understand the impact of independent variables on the dependent variable and make predictions based on the model....

A high-level interface for creating attractive and informative statistical graphics is offered by a powerful python library Seaborn. One of the most common tasks in data visualization is aligning different types of plots in one graph to gain insights into the data....

Logistic regression is a classification algorithm used to find the probability of event success and event failure. It is used when the dependent variable is binary(0/1, True/False, Yes/No) in nature. It supports categorizing data into discrete classes by studying the relationship from a given set of labelled data. It learns a linear relationship from the given dataset and then introduces a non-linearity in the form of the Sigmoid function....

In this article, we will perform Pearson’s Chi-Square test using a mathematical approach and then using Python’s SciPy module. It is an important statistic test in data science for categorical column selection. generally in data science projects, we select only those columns which are important and are not correlated with each other....

In the world of computer vision, YOLOv8 object detection really stands out for its super accuracy and speed. It’s the latest version of the YOLO series, and it’s known for being able to detect objects in real-time. YOLOv8 takes web applications, APIs, and image analysis to the next level with its top-notch object detection. In this article, we will see how yolov8 is utilised for object detection....