Loan Approval Dataset से Classification Problem को समझें

Loan Approval Dataset से Classification Problem को समझें नमस्कार दोस्तों! PostNetwork Academy में आपका स्वागत है। आज हम Machine Learning की एक बहुत महत्वपूर्ण concept — Classification Problem — को एक simple Loan Approval Dataset की मदद से समझेंगे। 📌 Classification क्या है? Classification एक ऐसी Machine Learning problem है जिसमें model को किसी input […]

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Steps in Designing a Learning System | AKTU BCS-055 Machine Learning Techniques

Steps in Designing a Learning System A learning system improves its performance through experience. Before we can build one, we need a precise, engineering-level definition of what “learning” actually means — and Tom Mitchell gave us exactly that. This post walks through the five steps used to design any machine learning system, from defining the

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Machine Learning Techniques

Complete Machine Learning Course (All Lectures + Resources) Unit Lecture Topic Video PDF Quiz Program I L1 Introduction to ML ▶ Video PDF Quiz – I L2 Types of Learning ▶ Video PDF Quiz – I L3 Well-defined Problems ▶ Video PDF Quiz – I L4 Learning System Design ▶ Video PDF Quiz – I

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Latex Workshop for Research Paper Writing

Workshop Detail Presentation Resources Latex Tutorials 1-https://www.bu.edu/math/files/2013/08/ShortTeX3.pdf 2-https://cdn.overleaf.com/static/latex/learn/free-online-introduction-to-latex-part-1.pdf 3-https://tobi.oetiker.ch/lshort/lshort.pdf  Latex Diagrams  Tikz  Package 4-https://tug.ctan.org/info/visualtikz/VisualTikZ.pdf 5-https://www.bu.edu/math/files/2013/08/tikzpgfmanual.pdf   See Also: Beamer Latex Code to Explain Variance What is Research? How to Write a Research Paper

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Normal Distribution – Numerical Problems with Solutions

Normal Distribution – Numerical Problems with Solutions Author: Bindeshwar Singh Kushwaha Platform: PostNetwork Academy 1. Definition of Normal Distribution A continuous random variable $X$ follows a Normal Distribution with mean $\mu$ and variance $\sigma^2$ if its probability density function (PDF) is: $$ f(x) = \frac{1}{\sigma \sqrt{2\pi}} e^{ -\frac{(x – \mu)^2}{2\sigma^2} }, \quad -\infty < x

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Retrieval-Augmented Generation (RAG) with LLMs

Retrieval-Augmented Generation (RAG)Retrieval-Augmented Generation (RAG) Explained | LLMs and the Need for RAG

Retrieval-Augmented Generation (RAG) LLMs and the Need for RAG Author: Bindeshwar Singh Kushwaha Platform: PostNetwork Academy Let’s Start With a Question Suppose you ask a Large Language Model: “What is the medical history of my uncle?” Will the LLM know the answer? Answer: No. Why Can’t the LLM Answer? LLMs are trained on public Internet

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Python for A.I. (ML DL GENAI LLMS AGENTIC AI ) and ROBOTICS

No. Topic Complete (Post + Video + PDF + Quiz) 1 Python Programming Basics 1.1 Introduction to Python & Installation 🔗 1.2 Variables, Data Types & Operators 🔗 1.3 Conditional Statements 🔗 1.4 Loops (for, while) 🔗 1.5 Functions & Recursion 🔗 1.6 Lists, Tuples, Sets, Dictionaries 🔗 1.7 File Handling & Exception Handling 🔗

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Normal Distribution A Detailed Step-by-Step Explanation

Normal Distribution A Detailed Step-by-Step Explanation By Bindeshwar Singh Kushwaha PostNetwork Academy Introduction: Random Variables A random variable (r.v.) is a function that assigns a numerical value to each outcome of a random experiment. There are two main types of random variables: Discrete Random Variable: Takes countable values (e.g., number of heads in 3 coin

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