Practical Machine Learning, Certificate | Part time online | Coursera | United States
1 months
Duration
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About

This Practical Machine Learning Course offered by Coursera in partnership Johns Hopkins University is part of the Data Science Specialization and the Data Science - Statistics and Machine Learning Specialization.

Visit the Visit programme website for more information

Overview

One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. 

The Practical Machine Learning Course offered by Coursera in partnership Johns Hopkins University will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation.

What you will learn

  • Describe machine learning methods such as regression or classification trees
  • Explain the complete process of building prediction functions
  • Understand concepts such as training and tests sets, overfitting, and error rates
  • Use the basic components of building and applying prediction functions

Programme Structure

Courses include: 

  • Prediction, Errors, and Cross Validation
  • The Caret Package
  • Predicting with trees, Random Forests, & Model Based Predictions
  • Regularized Regression and Combining Predictors

Details on Coursera Plus:

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Key information

Duration

  • Part-time
    • 1 months

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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