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What is Standard Deviation and Mean Absolute Deviation | Math Statistics for data science ML

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Lessons List | 12 Lesson

Introduction | Mathematics and statistics for data science and machine learning

Introduction | Mathematics and statistics for data science and machine learning

What is logarithm | Math Statistics for data science machine learning

What is logarithm | Math Statistics for data science machine learning

What is Standard Deviation and Mean Absolute Deviation | Math Statistics for data science ML

What is Standard Deviation and Mean Absolute Deviation | Math Statistics for data science ML

Normal Distribution and Z Score | Math Statistics for data science machine learning

Normal Distribution and Z Score | Math Statistics for data science machine learning

Median Mean Mode Percentile | Math Statistics for data science machine learning

Median Mean Mode Percentile | Math Statistics for data science machine learning

Descriptive vs Inferential Statistics | Math Statistics for data science machine learning

Descriptive vs Inferential Statistics | Math Statistics for data science machine learning

Log normal distribution | Math Statistics for data science machine learning

Log normal distribution | Math Statistics for data science machine learning

sin cos tan explained Explanation using real life example | Math Statistics for data science

sin cos tan explained Explanation using real life example | Math Statistics for data science

Cosine similarity cosine distance explained | Math Statistics for data science machine learning

Cosine similarity cosine distance explained | Math Statistics for data science machine learning

Simple explanation of A B Testing

Simple explanation of A B Testing

What is Hypothesis Testing Math Statistics for data science machine learning

What is Hypothesis Testing Math Statistics for data science machine learning

Simple explanation of Modified Z Score | Modified Z Score to detect outliers with python code

Simple explanation of Modified Z Score | Modified Z Score to detect outliers with python code

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4

2 Reviews

Aliha Shahid

it's quite impresive 2025-09-27

ulrich delanoe DJE

I found this course very informative and well-structured. The content was clear, and the examples helped me understand the concepts better. I appreciate the practical exercises which reinforced my learning. Thank you for providing this valuable resource! 2025-08-31

Shoukat Ali

thanks 2025-04-23

Karthik Krishna

Good 2025-04-19

Tamil Selvan s

THIS EXPERIENCE WITH MIND LUSTER IS GREAT AND USEFULLY FOR MY FUTURE STUDIES 2025-04-16

SRIKANTH PERUMAL (RA2311008020140)

Nice 2025-04-16

Sivaneshwaran b

Good 2025-04-15

Mutthiah

nice 2025-04-15

Akash G

Good 2025-04-15

Dhayanithi Venget N S

Good 2025-04-15

Sree Suryanath BJ

nice 2025-04-15

Dhabeer Ahmed

OVERALL GOOD 2025-04-14

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Course Description

Statistics is a field of mathematics that is universally agreed to be a prerequisite for a deeper understanding of machine learning. Although statistics is a large field with many esoteric theories and findings, the nuts and bolts tools and notations taken from the field are required for machine learning practitioners .

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