Statistics for Data Science & AI/ML | Complete Beginner Guide Part-1 (Hindi)

In this video, you will learn Statistics for Data Science and Artificial Intelligence / Machine Learning explained in a simple and beginner-friendly way.
Statistics is the foundation of Data Science and AI/ML, and understanding it is essential to build reliable models and make data-driven decisions.

🔍 What you will learn in this video:

What is Statistics and why it is important for Data Science & AI/ML

Descriptive Statistics (Mean, Median, Mode, Variance, Standard Deviation)

Probability fundamentals for Machine Learning

Data Distributions (Normal, Binomial, Poisson)

Correlation vs Regression

Hypothesis Testing (Z-test, T-test basics)

Role of statistics in Machine Learning models

Bias-Variance tradeoff

Overfitting and Underfitting

Real-world examples in Data Science

🎯 Who should watch this video?

✔ Beginners in Data Science
✔ AI & Machine Learning learners
✔ Computer Science & Engineering students
✔ Interview & job preparation candidates
✔ Anyone who wants to learn statistics from scratch

🚀 Why this video?

Beginner-friendly explanations

Practical and interview-oriented concepts

Strong foundation for Data Science & AI/ML careers

📌 Upcoming videos:

Python for Data Science

Machine Learning Algorithms

AI & ML Projects
Git hub --https://github.com/Tutoriallearn/Stat...
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