The Machine Learning Certification Course
3.5 (236 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
11,917 students enrolled

The Machine Learning Certification Course

Learn and understand Machine Learning using this course. Get your certificate!
3.5 (237 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
11,917 students enrolled
Created by Marufa Yasmin
Last updated 5/2020
English
English [Auto]
Current price: $135.99 Original price: $194.99 Discount: 30% off
23 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 38 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Basics
  • Installing an R Distribution
  • Installing an Python Distribution
  • Polynominal Regression
  • Mean Median Mode
Course content
Expand 7 lectures 37:56
+ The Machine Learning Certification Course
7 lectures 37:56
Installing an Python Distribution
05:21
Machine Learning Using Coding - Part 1
05:20
Machine Learning Using Coding - Part 2
05:19
Machine Learning Using Coding - Part 3
04:19
Machine Learning Using Coding - Part 4
05:34
Requirements
  • Beginners level knowledge for working with Data .
Description

Introductory Machine Learning course covering theory  & algorithms.

This is an introductory course in machine learning (ML) that covers the basic theory and  algorithms . ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to adaptively improve their performance with experience accumulated from the observed data. ML has become one of the hottest fields of study today, taken up by undergraduate and graduate students from 15 different majors. This course balances theory and practice, and covers the mathematical as well as the heuristic aspects.

Who this course is for:
  • Anyone who wants to understand machine learning better.