AI Academy #1: Learn Regression Analysis Methods from A-Z
- 4.5 hours on-demand video
- 14 articles
- 2 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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- You'll know how Linear Regression work.
- You'll know how Multi Linear Regression work using sklearn and Python.
- Program Logistic Regression from scratch in python.
- Create Regression Model to find global temperature in the next years.
- Build good and accurate Regression Model to estimate advertising campaign sales.
- Build Model to Predict CO2 and Global Temperature by Polynomial Regression.
- Classify Handwritten Images by Logistic Regression
- Classify IRIS Flowers by Logistic Regression
- All you need is a decent PC/Laptop (2GHz CPU, 4GB RAM). You will get the rest from me.
- You should know about basic statistics.
- You must know basic python programming.
- Install Sublime and required library for python.
- You should have a great desire to learn programming and do it in a hands-on fashion, without having to watch countless lectures filled with slides and theory.
In this Course you learn Polynomial Regression & Logistic Regression You learn how to estimate output of nonlinear system by Polynomial Regressions to find the possible future output Next you go further You will learn how to classify output of model by using Logistic Regression
In the first section you learn how to use python to estimate output of your system. In this section you can estimate output of:
Boston House Price
Built in Dataset
In the Second section you learn how to use python to estimate output of your system with multivariable inputs.In this section you can estimate output of:
Total Sales of Advertising Campaign
Built in Dataset
In the thirdsection you learn how to use python to estimate output of your system. In this section you can estimate output of:
Nonlinear Sine Function
Temperature and CO2
In the fourth section you learn how to use python to classify output of your system with nonlinear structure .In this section you can estimate output of:
Classify IRIS Flowers
Classify Handwritten Digits
Important information before you enroll:
In case you find the course useless for your career, don't forget you are covered by a 30 day money back guarantee, full refund, no questions asked!
Once enrolled, you have unlimited, lifetime access to the course!
You will have instant and free access to any updates I'll add to the course.
You will give you my full support regarding any issues or suggestions related to the course.
Check out the curriculum and FREE PREVIEW lectures for a quick insight.
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- Anyone who wants to learn Linear and Multi Linear Regression
- Anyone who wants to learn Polynomial and Logistic Regression
- Students who want to learn machine learning
- Data analyser , Researcher, Engineers and Post Graduate Students
- Learners who want to work in data science and big data field