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1. Basic Concepts What is Data Science? What is the difference between supervised and unsupervised learning? What are precision and recall? How are they different? What is a confusion matrix? How do you interpret it? What is cross-validation? Why is it important? What is overfitting and underfitting in machine learning models? Explain the bias-variance tradeoff. … Read more
The rapid growth of artificial intelligence (AI) and machine learning (ML) has led to a significant interest in these fields among students, professionals, and businesses. However, a common question arises: Is it necessary to learn Data Science before diving into AI and ML? This article will explore the importance of a solid Data Science foundation … Read more
In today’s rapidly evolving world, the skills required by industries are changing faster than ever. The rise of automation, artificial intelligence (AI), and data-driven decision-making has led to an urgent demand for highly skilled workers. In India, this demand has outpaced the current educational system’s ability to supply job-ready graduates. Using Data Science to bridge … Read more
Digitalization has made data an asset for most enterprises irrespective of the sectors. This demand has raised high the prospect of a career in the field of data science. We take a closer look at prospects in pursuing a career in Data Science in India and shed some light on why it would turn out … Read more
1. What is Data Science? Data Science is a field that combines domain expertise, programming skills, and knowledge of statistics and mathematics to extract meaningful insights from data. It involves the process of collecting, cleaning, analyzing, and interpreting complex data to drive decision-making. 2.What are the key differences between supervised and unsupervised learning? Supervised learning: … Read more
Join our hands-on courses and gain real-world skills with expert guidance. Get lifetime access, personalized support, and work on exciting projects.
