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Machine Learning Basics - Classification Models In Python

Simpliv

1 days
Duration
10 USD/full
10 USD/full
Unknown
Tuition fee
Unknown
Unknown
Apply date
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Unknown
Start date

About

Machine Learning Basics - Classification Models In Python at Simpliv  is for those who are looking for complete classification modeling with the Linear Regression Model. Learn how to master the high-demand skill of classification modeling at this course.

Overview

You're looking for a complete Classification modelling course that teaches you everything you need to create a Classification model in Python, right?

You've found the right Classification modelling course!

After completing this Machine Learning Basics - Classification Models In Python at Simpliv you will be able to:

  • Identify the business problem which can be solved using Classification modelling techniques of Machine Learning.
  • Create different Classification modelling model in Python and compare their performance.
  • Confidently practice, discuss and understand Machine Learning concepts

Why should you choose this course?

This course covers all the steps that one should take while solving a business problem using classification techniques.

Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.

Programme Structure

What will you learn
  • Understand how to interpret the result of Logistic Regression model and translate them into actionable insight
  • Learn the linear discriminant analysis and K-Nearest Neighbors technique
  • Learn how to solve real life problem using the different classification techniques
  • Preliminary analysis of data using Univariate analysis before running classification model
  • Predict future outcomes basis past data by implementing Machine Learning algorithm

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

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

English requirements

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

Other requirements

General requirements

  • Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same

Tuition Fee

To alway see correct tuition fees
  • International

    10 USD/full
    Tuition Fee
    Based on the tuition of 10 USD for the full programme during 1 days.
  • National

    10 USD/full
    Tuition Fee
    Based on the tuition of 10 USD for the full programme during 1 days.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

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Machine Learning Basics - Classification Models In Python
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