[Udemy] Logistic Regression in Python
What you’ll learn
Perceive methods to interpret the results of Logistic Regression mannequin in Python and translate them into actionable perception
Be taught the linear discriminant evaluation and Okay-Nearest Neighbors approach in Python
Preliminary evaluation of knowledge utilizing Univariate evaluation earlier than working classification mannequin
Predict future outcomes foundation previous knowledge by implementing Machine Studying algorithm
Indepth data of knowledge assortment and knowledge preprocessing for Machine Studying logistic regression downside
Learn to clear up actual life downside utilizing the totally different classification methods
Course incorporates a end-to-end DIY mission to implement your learnings from the lectures
Fundamental statistics utilizing Numpy library in Python
College students might want to set up Python and Anaconda software program however we now have a separate lecture that will help you set up the identical
You are in search of a whole Classification modeling course that teaches you every part it’s good to create a Classification mannequin in Python, proper?
You have discovered the fitting Classification modeling course!
After finishing this course it is possible for you to to:
- Determine the enterprise downside which might be solved utilizing Classification modeling methods of Machine Studying.
- Create totally different Classification modelling mannequin in Python and examine their efficiency.
- Confidently observe, focus on and perceive Machine Studying ideas
How this course will assist you?
A Verifiable Certificates of Completion is introduced to all college students who undertake this Machine studying fundamentals course.
In case you are a enterprise supervisor or an government, or a scholar who needs to study and apply machine studying in Actual world issues of enterprise, this course offers you a stable base for that by instructing you the preferred Classification methods of machine studying, comparable to Logistic Regression, Linear Discriminant Evaluation and KNN
Why do you have to select this course?
This course covers all of the steps that one ought to take whereas fixing a enterprise downside utilizing classification methods.
Most programs solely deal with instructing methods to run the evaluation however we imagine that what occurs earlier than and after working evaluation is much more vital i.e. earlier than working evaluation it is vitally vital that you’ve the fitting knowledge and do some pre-processing on it. And after working evaluation, you need to have the ability to decide how good your mannequin is and interpret the outcomes to truly have the ability to assist your corporation.
What makes us certified to show you?
The course is taught by Abhishek and Pukhraj. As managers in International Analytics Consulting agency, we now have helped companies clear up their enterprise downside utilizing machine studying methods and we now have used our expertise to incorporate the sensible facets of knowledge evaluation in this course
Who this course is for:
- Individuals pursuing a profession in knowledge science
- Working Professionals starting their Information journey
- Statisticians needing extra sensible expertise