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Certificate Online

From 0 To 1- Machine Learning, NLP and Python-Cut To The Chase

Simpliv

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

About

Want to learn how to put Machine Learning to work in day-to-day work? Learn the deadly combination of Machine Learning, NLP and Python in virtually no time with expert help. From 0 To 1- Machine Learning, NLP and Python-Cut To The Chase is offered at Simpliv.

Overview

Prerequisites: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided.

Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce. 

This course is a down-to-earth, shy but confident take on machine learning techniques that you can put to work today

Let’s parse that.

  • The course is down-to-earth : it makes everything as simple as possible - but not simpler
  • From 0 To 1- Machine Learning, NLP and Python-Cut To The Chase offered at Simpliv is shy but confident : It is authoritative, drawn from decades of practical experience -but shies away from needlessly complicating stuff.
  • You can put ML to work today : If Machine Learning is a car, this car will have you driving today. It won't tell you what the carburetor is.
  • The course is very visual : most of the techniques are explained with the help of animations to help you understand better.
  • This course is practical as well : There are hundreds of lines of source code with comments that can be used directly to implement natural language processing and machine learning for text summarization, text classification in Python.
  • The course is also quirky. The examples are irreverent. Lots of little touches: repetition, zooming out so we remember the big picture, active learning with plenty of quizzes. There’s also a peppy soundtrack, and art - all shown by studies to improve cognition and recall.

Programme Structure

Courses include:

  • Jump right in Machine learning for Spam detection
  • Solving Classification Problems
  • Clustering as a form of unsupervised learning
  • Association Detection
  • Dimensionality Reduction
  • Regression as a form of supervised learning
  • Natural Language Processing and Python
  • Sentiment Analysis

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

  • No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided

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.

Our partners

From 0 To 1- Machine Learning, NLP and Python-Cut To The Chase
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Simpliv

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