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1.What is the difference between supervised and unsupervised learning? Supervised learning involves training a model using labeled data, where the model learns the relationship between input and output. For example, predicting house prices based on features like size and location. In unsupervised learning, there are no labels, and the model finds patterns or structures within … Read more
Artificial Intelligence (AI) and Machine Learning (ML) are transforming various industries, from healthcare to finance. However, diving into these fields requires specific foundational knowledge and skills. In this article, we will explore the prerequisites for learning Machine Learning and AI in simple vocabulary to help anyone understand how to start their journey. Ready to take … Read more
Introduction Importance of Data Science Interviews Data Science is a rapidly growing field that offers a wide range of opportunities for professionals. Interviews in this domain are designed to assess both technical and analytical skills, as well as the candidate’s ability to solve complex problems. What to Expect in a Data Science Interview Expect questions … Read more
Chat GPT for data science: In the fast-paced world of data science, professionals are always on the lookout for new tools to help them make sense of complex datasets. One tool that’s been getting a lot of buzz lately is ChatGPT. In this article, we’ll take a closer look at how ChatGPT for data science … Read more
Python is a leading programming language in data science, renowned for its simplicity, versatility, and robust libraries like Pandas, NumPy, and Scikit-learn. Its popularity in data science has surged due to its ability to handle large datasets, perform complex calculations, and visualize data efficiently.However, even experienced developers can stumble upon common pitfalls when using Python … Read more
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