Regression in One Shot | Numerical Method in Nepali

Описание: Welcome to Digital Nomad Academy (DNA) 🎓
At Digital Nomad Academy, we simplify BSc.CSIT, BCA, BIM, BIT, and Computer Engineering subjects by teaching complex concepts in clear, exam-oriented Nepali, so students across Nepal can learn with confidence.

In this video, “Regression Analysis in One Shot | Numerical Method in Nepali”, we cover one of the most important and frequently examined topics from the Numerical Methods syllabus. This lecture is designed to give you conceptual clarity, mathematical intuition, and exam readiness in a single session.

Timestamps:
00:00:06 - Introduction to Regression and Linear Regression
00:29:57 - Exponential (Transcendental) Regression
00:48:48 - Polynomial Regression
01:03:30 - Multiple Regression

📌 What You’ll Learn in This Video

This one-shot lecture on Regression Analysis includes:

Introduction to Regression and why it is needed in Numerical Methods
Difference between curve fitting and regression
Method of Least Squares – explained intuitively
Derivation of regression equations
Linear regression and fitting a straight line
Transcendental regression and fitting a exponential equation
Polynomial regression and fitting a polynomial equation
Multiple linear regression and fitting a 2D plane
Understanding equations like Σx, Σy, Σxy, Σx² in a simple way
Step-by-step numerical examples asked in TU examinations
How regression helps in prediction and estimation

All explanations are delivered in simple Nepali, focusing on why formulas work, not just how to memorize them.

🎯 Who Is This Video For?

BSc.CSIT – 3rd Semester students
BIT – 3rd Semester students
BCA – 4th Semester students
Computer Engineering and other IT-related faculty students
Anyone studying Numerical Method / Numerical Analysis
Students preparing for TU internal, board, and final exams

🌍 Real-World Applications of Regression

To make learning practical and interesting, this video also explains how regression is used in:

Data analysis and prediction
Machine learning fundamentals
Trend analysis (sales, population growth, performance prediction)
Engineering and scientific computations

These examples help you connect Numerical Methods with real-life and future tech fields.

📚 Study Tips for Numerical Method

Focus on conceptual understanding before memorizing formulas
Practice step-by-step numerical problems
Understand how equations are derived, not just applied
Rewatch difficult parts and solve past TU questions alongside the video

🔑 Keywords

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