MySirG

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🚀 Welcome to MySirG – Learn Coding in Hindi! Are you passionate about coding, technology, and building a great career in IT? You’ve come to the right place! ...

Latest Videos

Horizontal vs Vertical Learning Which One Actually Builds a Strong Career

Types of Matrices Explained Basic Maths for AI & Machine Learning

Matrices in AI & ML The Hidden Math Behind Neural Networks

The Complete Map of AI Branches, Applications, and Your Learning Path (2026)

What Is a Neuron in Neural Networks The Building Block of AI Explained

ReLU Activation Function Explained The Secret Behind Deep Learning

Sigmoid Function Explained Maths That Powers AI Decisions

Linear Functions Explained The Foundation of AI, ML & Data Science

Relation vs Function Explained Maths You Need for AI & Data Science

Independent vs Dependent Variables Explained for AI & Data Science

5 Job-Hunting Strategies Every Candidate Must Know

Are you chasing the wrong tech trends

Do You REALLY Need a Degree to Get into Big Tech

What Is Variance Statistics Made Crystal Clear

Standard Deviation Made Simple Statistics You’ll Actually Understand

Indian Job Market Reality Check Should Indians Be Worried

Quartile Deviation & IQR Explained Statistics for Data Science & AI

Percentiles Explained — What Does Top 90% Really Mean

Quartiles Explained — Divide Data Like a Pro!

Range Explained — The Simplest Measure of Dispersion!

Dispersion Explained — Why Average Alone Is Not Enough!

Mode in Statistics The Simplest Average You’re Ignoring

NIMCET 2026 Roadmap Crack NIMCET in Just 5 Months (Strategy + Colleges)

Median Explained — The Most Reliable Average in Real Life!

Harmonic Mean Explained — The Right Average for Speed & Rates!

Geometric Mean Explained — The Right Average for Growth & AI!!

Arithmetic Mean Explained — Statistics Fundamentals for Data Science & AI

Measure of Central Tendency Explained for Data Science & AI (No Fear!)

Statistics introduction for Data science and AI

Why Python Is the BEST Language for Coding Interviews (FAANG Truth!)