Start-Tech Academy
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
Courses : 14
Specification: Logistic Regression in Python
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18 reviews for Logistic Regression in Python
Add a review
| Price | $14.99 |
|---|---|
| Provider | |
| Duration | 7.5 hours |
| Year | 2022 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$14.99
Sagar Khatri –
May be he was a bit too fast.
Salako Babatunde –
perfect match
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.
Francisco Marcelo da Silva Lima –
Me tirou muitas duvidas que eu possu a. Gostei da metodologia. Indicaria.
Raju Roy –
nice
Maedeh Taj Mazinani –
it was very good, just acsent of speaker is not very good.
Nidhi Mahto –
it was simple and amazing course
Mohamed Yassine BEN HAJ HAMIDA –
Ce cours est tr s enrichissant de sorte que j’ai compris tout merci infiniment.
Ahmed shaban –
good classification , more example is needed on unsupervised learning..
Abhijeet Paul –
Most the time only reading ppt.
Lucas Lissandrello –
Los subt tulos est n mal y la voz en ingles no se entiende muy bien
Anik Dutta –
Yes.
Tanzila Kehkashan –
Obviously, it is.
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.
Rakshitha –
They teach us with ongoing example…both theoritical and practical knowledge is given
Saptarshee Sarkar –
Nice course to start your path towards to ML
Manavi NP –
good
Vatsal sinha –
the course was very well documented i learnt a lot during the course period