What you'll learn

Requirements

-This course does not require any Prerequisites

Description

We have designed this course to focus exclusively only on those concepts that are used in Machine Learning algorithms and implemented using Python. It serves as a prerequisite to effectively understand the larger picture to address real- issues including concepts in Python and Machine Learning. This course covers concepts such as: sample, population, central tendencies, measures of dispersion, z score, min-max scaling,normal distribution, binomial distribution, central limit theorem,confidence interval etc

Who this course is for:

This course is targeted towards anyone who aims to implement machine learning algorithms using python to solve real issues.



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