Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | SRT | Size: 1.21 GB | Duration: 3h 43m
This course covers all the concepts in statistics necessary to implement in the machine learning code.
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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