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What is Kaggle? User Guide to Beginner Data Scientist

Table of Contents In this article, we will consider how Kaggle as a platform helps beginner Data Scientists. How to get started with it? Introduction To Kaggle Why Kaggle? A beginner data scientist needs practice, and Kaggle solves this problem very well. Let me explain this further. Kaggle is a platform that offers a no-setup, […]

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Top 9 Python Libraries for Data Science, AI and ML 

Table of Contents Let’s break them down in a practical order. Starting with the foundations, then into AI and concluding with machine learning. Introduction Python dominates AI and machine learning for one simple reason: its ecosystem is amazing. Most projects are built on a small set of libraries that handle everything from data loading to […]

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Data Science Resume Failed ?Build A Portfolio Instead

Table of Contents Tired of your data science resume failing to land interviews? Build a portfolio instead which showcases real skills How to Build a Data Science Portfolio That Gets You Hired ? In the fast-evolving world of data science, your resume might get you an interview, but your portfolio seals the deal. Hiring managers […]

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How to Start Data Science from Zero: Everything You Need!

Table of Contents So let’s break it down: How to start data science from zero to everything you need to excel, let’s start from scratch. How to Start Data Science from Zero? Starting a career in data science in 2026 requires a clear roadmap that balances technical skills, practical experience, and a growth mindset. To […]

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Generative AI: Part 7 — Prompt Engineering Decoded

Table of Contents This is the 7th blog in this series of generative AI where we will learn about prompt engineering. Let’s quickly recap what we have learnt so far! Artificial Intelligence (AI) Machine Learning (ML) Deep Learning (DL) Generative AI (Gen AI) Now, let’s continue our journey and try to understand how we can […]

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Generative AI: Part 6 — Mastering Generative AI

Table of Contents We are here at our Generative AI blog series! In this blog series we delve into mastering generative AI. History of Past Blogs Over the past five Blogs (Previous Blogs – Blog-1, Blog-2, Blog-3, Blog-4, Blog-5), we’ve built a strong foundation: starting with the basics of Artificial Intelligence and its types, diving into Machine Learning and […]

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Generative AI: Part 5 — AI vs ML vs DL

Table of Contents In this blog we delve into understanding the key differences between AI, ML, and DL. About This Blog This blog post is part of the Generative AI series, where we explore the basics of Generative AI one simple step at a time. This is the 5th blog of the series (Previous Blogs […]

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Generative AI: Part 4 — DL & Artificial Neural Networks

Table of Contents Diving into the fourth blog of our Generative AI series this article Demystifying Deep Learning and the power of Artificial Neural Network. Welcome back to the ‘Generative AI’ series!   Over the past few blogs(Blog-1, Blog-2, Blog-3), we’ve travelled through the fascinating landscape of Artificial Intelligence from understanding its fundamentals and forms to […]

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Generative AI: Part 3 — The Ultimate Guide to Machine Learning

Table of Contents Dive into the third blog of our Generative AI series: your Ultimate learning guide to conquering Machine Learning essentials and beyond. Welcome Back !! In our previous two blogs (Blog-1, Blog-2), we laid the groundwork for understanding Artificial Intelligence. In the first post, we explored its core concepts, capabilities, and various forms. […]

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Generative AI: Part 2 — How AI Thinks & Its Types

Table of Contents In this second blog, The discussion covers different types of AI & How AI differs from human intelligence. Introduction Artificial Intelligence (AI) has emerged as a transformative technology, enabling systems to replicate or exceed human capabilities in various domains. AI can be categorized into different types based on its functionalities and capabilities.  […]