Soledad Galli
Welcome to Feature Engineering for Machine Learning, the most comprehensive course on feature engineering available online.
In this course, you will learn how to engineer features and build more powerful machine learning models.
Who is this course for?
So, you ve made your first steps into data science, you know the most commonly used prediction models, you probably built a linear regression or a classification tree model. At this stage you re probably starting to encounter some challenges – you realize that your data set is dirty, there are lots of values missing, some variables contain labels instead of numbers, others do not meet the assumptions of the models, and on top of everything you wonder whether this is the right way to code things up. And to make things more complicated, you can t find many consolidated resources about feature engineering. Maybe only blogs? So you may start to wonder: how are things really done in tech companies?
This course will help you! This is the most comprehensive online course in variable engineering. You will learn a huge variety of engineering techniques used worldwide in different organizations and in data science competitions, to clean and transform your data and variables.
What will you learn?
Instructor Details
Courses : 3
Specification: Feature Engineering for Machine Learning
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19 reviews for Feature Engineering for Machine Learning
Add a review
| Price | $14.99 |
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| Provider | |
| Duration | 10.5 hours |
| Year | 2021 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$14.99
Rajesh Prasad –
It is a good course covering wide aspects of feature engineering. I look forward to learn more on Multivariate missing data imputation.
Dina Deifallah –
One of the best courses I purchased on Udemy! Very relevant to real life issues in designing ML models and putting them into production. Also, the feature engine package developed by the instructor and used throughout this course saves a lot of time in feature engineering effort. I highly recommend this course.
Ramesh Upreti –
The course is teaching in detail about feature engineering. I am excited to complete this course.
Eduardo Mu oz Sala –
It a very extensive description of feature engineering steps. It is very well explained and the demos are very easy and descriptive. I highly recommend this course to anyone interested in improve his machine learning skills. Thank you for this great job!
Ananth Mahadevan Muralidharan –
The course was great as it helped me understand the various nuances involved in feature engineering. It also came at the right time as I got to apply many of these techniques in my work.
Graciano Patino –
This is great course that shows several techniques for feature engineering. Several examples are provided so we can run the examples ourselves.
Niraj Singh –
Fun course.
Rostyslav Apostol –
Amazing course! A lot of useful information. The only thing I would like to have not only depicting pros and cons but rather concrete cases where and which technique to apply.
Durga Sandeep –
Yes, This seems really informative. Thank you so much
Gourav Chatterjee –
very good
Amir Haddad –
Great course with a full content : slides and a developed package for feature engineering . i appreciate the effort of soledad really that worth to follow this course
Ashok Bohra –
quite a few techniques i learnt from the course.
Soumya Ranjan Sethi –
Like this course , good contents
Eza Sokotela –
Clear explanations!
Kees van den Tempel –
Een ontzetten goede cursus, met oog voor de details en de moeilijkheden die je tegenkomt bij real life alledaagse datasets. E n van de beste en volledigste cursussen tot nu toe
Mehrdad Mizani –
Very informative and yet practical course on feature engineering.
Terry B –
One of the best course I have ever taken. Seriously the feature engine library is pure gold. Thank you so much doctor Soledad !!! Can’t wait to take your other courses
Tufail waris –
I have learnt a lot from the lectures. I am already working as a data scientist but taking course helped me to learn new techniques which can be applied while doing EDA and feature engineering. I was not expecting this much information from this course, but it has definitely exceeded my expectations. Thanks a lot.
Michael Burkhart –
Amazing resource! I like the organization of lecture with accompanying notebooks for further learning and experimentation.