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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Practical Machine Learning, available on Coursera, is administered by Johns Hopkins University to expose the students to the realm of machine learning along with a thorough practical training with the help of numerous practical applications. Practical Machine Learning Certification Syllabus developed by industry experts and experienced professors will walk the students through concepts of sets, overfitting, regression, classification trees, Naive Bayes, random forests, and error rates.

Practical Machine Learning Certification Course, provided by Coursera, will shed light on numerous topics related to machine learning including algorithms, evaluation, data collection, and feature creation. Practical Machine Learning Certification by Coursera prepared by Jeff Leek, Ph.D., Roger D. Peng, Ph.D., and Brian Caffo, Ph.D. with an emphasis on facilitating the learners to practice the application of machine learning.

The Highlights

Provided by Coursera
Approximately 8 hours of programme
Offered by Johns Hopkins University
Flexible Deadlines
Self-Paced Learning Option
Shareable Certificate
Financial Aid Available
100% Online Course

Programme Offerings

English videos with multiple subtitles
practice quizzes
Graded Assignments with peer feedback
graded Quizzes with feedback
Graded Programming Assignments
Course Videos & Readings
EMI payment options
14 day refund period

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Coursera

The practical Machine Learning Certification Fee is decided based on how many months the students intend to stay on the programme and learn. The moth-wise fee structure is given in the table below:

Description	Total Fee in INR
Course Fee, 1 month	Rs. 4,074
Course Fee, 3 months	Rs. 8,149
Course Fee, 6 months	Rs. 12,224

Eligibility Criteria

Certification Qualifying Details

Only by completing the whole aspects of the proceedings of the programme including the course videos, readings, graded assignments, and quizzes, the candidates can get certified with Practical Machine Learning Certification.

What you will learn

Machine learning

After the completion of the Practical Machine Learning Training, the students will learn the following concepts in greater depth:

Random Forest
Machine Learning (ML) Algorithms
Machine Learning
R Programming

Who it is for

Machine Learning Engineer

This practical course on Machine Learning suits the ones who want to be seen as ML Engineers in the future.

Admission Details

Step 1 -First, the students will have to register and sign up on https://www.coursera.org/ to get access to the courses provided by Coursera.

Step 2 - After activating the Coursera account, the candidate can sign in.

Step 3 - Then, the candidate can search the ‘Johns Hopkins University’ in the search column, and then, the programmes provided by the Johns Hopkins University will be shown on the screen.

Step 4 - Then, find the course ‘Practical Machine Learning’ in the list and click on it.

Step 5- Then, the page of the course will appear on the screen, and then, click on the option ‘enroll’. The students can enroll either by paying the fee and getting full access to the course or just audit free of cost.

The Syllabus

Videos

Prediction motivation
What is prediction?
Relative importance of steps
In and out of sample errors
Prediction study design
Types of errors
Receiver Operating Characteristic
Cross-validation
What data should you use?

Readings

Welcome to Practical Machine Learning
A Note of Explanation
Syllabus
Pre-Course Survey

Quiz

Quiz 1

Videos

Caret package
Data slicing
Training options
Plotting predictors
Basic preprocessing
Covariate creation
Preprocessing with principal components analysis
Predicting with Regression
Predicting with Regression Multiple Covariates

Practice exercises

Quiz 2

Videos

Predicting with trees
Bagging
Random Forests
Boosting
Model-Based Prediction

Quiz

Quiz 3

Videos

Regularized regression
Combining predictors
Forecasting
Unsupervised Prediction

Readings

Course Project Instructions (READ FIRST)
Post-Course Survey

Quizzes

Quiz 4
Course Project Prediction Quiz

Peer Review

Prediction Assignment Writeup

Instructors

Johns Hopkins Frequently Asked Questions (FAQ's)

1: In which duration of time the Practical Machine Learning Online Certification can be completed?

The course can be completed within approximately 8 hours.

2: Who are the tutors of the Practical Machine Learning Online Course?

The course is tutored by Jeff Leek, Ph.D., the Associate Professor of Biostatistics at Bloomberg School of Public Health, Brian Caffo, Ph.D., the Professor of Biostatistics at Bloomberg School of Public Health, and Roger D. Peng, Ph.D., the Associate Professor of Biostatistics at the Bloomberg School of Public Health.

3: In which languages the subtitles for the course videos are available?

The subtitles are available in the languages of Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English and Spanish.

4: In which mode the program is provided?

The course is completely offered in the online mode.

5: Which university is offering the programme?

The programme is offered by Johns Hopkins University.