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- 25% Machine Learning: Logistic Regression, LDA & K-NN in Python

Logistic Regression in Python

$14.99Track price

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8.8/10 (Our Score)
Product is rated as #28 in category Artificial Intelligence

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

You’ve found the right Classification modeling course!

After completing this course you will be able to:

Identify the business problem which can be solved using Classification modeling techniques of Machine Learning.

Create different Classification modelling model in Python and compare their performance.

Confidently practice, discuss and understand Machine Learning concepts

How this course will help you?

A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.

If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular Classification techniques of machine learning, such as Logistic Regression, Linear Discriminant Analysis and KNN

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.

Instructor Details

Start-Tech Academy is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners. Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey. Founded by Abhishek Bansal and Pukhraj Parikh. Working as a Project manager in an Analytics consulting firm, Pukhraj has multiple years of experience working on analytics tools and software. He is competent in MS office suites, Cloud computing, SQL, Tableau, SAS, Google analytics and Python. Abhishek worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.

Specification: Logistic Regression in Python

Duration

7.5 hours

Year

2022

Level

All

Certificate

Yes

Quizzes

Yes

18 reviews for Logistic Regression in Python

4.1 out of 5
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  1. Sagar Khatri

    May be he was a bit too fast.

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  2. Salako Babatunde

    perfect match

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  3. Cheecha KR

    I just completed 20% and I must say, It is good. The one thing irritates me is the cursor (Black square). The seasonality calculation example was not properly shown.

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  4. Francisco Marcelo da Silva Lima

    Me tirou muitas duvidas que eu possu a. Gostei da metodologia. Indicaria.

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  5. Raju Roy

    nice

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  6. Maedeh Taj Mazinani

    it was very good, just acsent of speaker is not very good.

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  7. Nidhi Mahto

    it was simple and amazing course

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  8. Mohamed Yassine BEN HAJ HAMIDA

    Ce cours est tr s enrichissant de sorte que j’ai compris tout merci infiniment.

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  9. Ahmed shaban

    good classification , more example is needed on unsupervised learning..

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  10. Abhijeet Paul

    Most the time only reading ppt.

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  11. Lucas Lissandrello

    Los subt tulos est n mal y la voz en ingles no se entiende muy bien

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  12. Anik Dutta

    Yes.

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  13. Tanzila Kehkashan

    Obviously, it is.

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  14. J Fran ois Valour

    Il n’est pas facile de toujours pouvoir suivre l’enseignant cause de son accent et les traductions automatiques ne correspondent pas toujours. Ce n’est que le d but du cours et l’on n’est pas encore rentr dans le vif du sujet.

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  15. Rakshitha

    They teach us with ongoing example…both theoritical and practical knowledge is given

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  16. Saptarshee Sarkar

    Nice course to start your path towards to ML

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  17. Manavi NP

    good

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  18. Vatsal sinha

    the course was very well documented i learnt a lot during the course period

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