01-Machine Learning

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1.1 Data Science

Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models.

Data Science is a field which incorporates Artificial Intelligence, Data Mining, Big Data, Machine Learning, and Deep Learning.

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AI Editors Comparison

AI-native and AI-enhanced editors

AI editors are code editors and IDEs with deeply integrated AI assistance for coding, refactoring, debugging, and multi‑file changes. They vary by project context awareness, agent capabilities (planning/executing tasks), and integration with development workflows.

Leading AI editors

VS Code + GitHub Copilot

  • Features: Inline code suggestions, chat integrations, Copilot Labs/agents, multi-language support.
  • Advantage: Strong VS Code ecosystem, low setup friction, excellent for day-to-day autocompletion and prototyping.

Cursor (AI‑native)

  • Cursor is a fork of Visual Studio Code
  • Features: Built‑in chat, “Agent Mode”, multi‑file edits, command execution, session memory.
  • Advantage: Designed for whole‑project changes and iterative workflows inside the editor; deep project-level context.

Moving from another editor to cursor?

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DSA

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1. Understanding DSA:

Data Structures refer to the organization and management of data in a way that enables efficient access and modification.

Algorithms, on the other hand, are step-by-step procedures designed to solve specific problems.

Together, they provide a powerful toolkit for programmers to tackle complex computational challenges

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