95% off Feature Engineering for Machine Learning (Coupon & Review)

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Feature Engineering for Machine Learning - Udemy Coupon

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This is the best Udemy Feature Engineering for Machine Learning coupon code discount for 2021.

So if you’re interested in Soledad Galli’s “Feature Engineering for Machine Learning” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Feature Engineering for Machine Learning review for 2021

In our review of this course, we try to help you answer all of your most important questions about Feature Engineering for Machine Learning as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Contents hide

Why use FEFML as an abbreviation of the course name?

During our Feature Engineering for Machine Learning course review, you might sometimes see us refer to it as FEFML for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and FEFML is simpler and easier for reviewing purposes

The full course name is 40 characters long, including blanks, while FEFML is 5 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 35 characters every time we use FEFML.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to FEFML throughout the remainder of this review.

Is the Feature Engineering for Machine Learning course for you?

To determine whether Soledad Galli’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Soledad Galli’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Soledad Galli chose for the course, “Feature Engineering for Machine Learning”, as well as its subtitle: “Transform the variables in your data and build better performing machine learning models”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Soledad Galli is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what FEFML is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Soledad Galli hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Feature Engineering for Machine Learning is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Soledad Galli’s official description of FEFML

Learn how to engineer features and build more powerful machine learning models.

This is the most comprehensive, yet easy to follow, course for feature engineering available online. Throughout this course you will learn a variety of techniques used worldwide for data cleaning and feature transformation, gathered from data competition websites and white papers, blogs and forums, and from the instructor’s experience as a Data Scientist.

You will have at your fingertips, altogether in one place, a variety of techniques that you can apply to capture as much insight as you possibly can with the features of your data set.

(Read more about this course on the official course page.)

Does FEFML pass the 30 Seconds Test?

You can read a lot more about Feature Engineering for Machine Learning on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Soledad Galli has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did Feature Engineering for Machine Learning appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with FEFML above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Soledad Galli do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Soledad Galli’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Soledad Galli sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the FEFML course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Soledad Galli’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Soledad Galli, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Soledad Galli’s Udemy bio

Soledad Galli is a Lead Data Science in Insurance and Finance. Soledad helped Finance and Insurance companies build Machine Learning models to assess Credit Risk and to prevent Fraud. Her work as a data scientist led Soledad to be the winner of the Data Leaders awards 2018 for data science and analytics.

(Learn more about this instructor on the official course page.)

What did you think about Soledad Galli after reading just the first few lines of the bio above?

After reading just the first few lines about Soledad Galli, did it make you more or less interested in taking the FEFML course?

And did it make you feel like Soledad Galli was more or less credible and qualified to teach Feature Engineering for Machine Learning?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the FEFML lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Feature Engineering for Machine Learning course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the FEFML course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Soledad Galli’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Feature Engineering for Machine Learning, as well as the course’s subtitle, Transform the variables in your data and build better performing machine learning models.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that FEFML is potentially a good, useful course for you, and you can have more confidence in Soledad Galli’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Soledad Galli that you enjoyed?

Have you already learned something from Soledad Galli that you valued or enjoyed?

For example, does the Feature Engineering for Machine Learning training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any FEFML lessons for free, have you perhaps watched a YouTube video by Soledad Galli, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Soledad Galli’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Soledad Galli’s teaching methods, and the more you enjoy them, the more likely it is that Feature Engineering for Machine Learning will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Soledad Galli before purchasing this course, since it’s one of the best ways to determine whether FEFML will be helpful for you.)

Are “Feature Engineering for Machine Learning” reviews generally positive?

On the bottom of the FEFML page, you can read student reviews of the class.

Prior to September 17, 2021, there were 3,532 students enrolled, 1,445 reviews / ratings, and it was overall rated 4.7 out of 5.

Obviously, the more highly other students rate FEFML the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the FEFML reviews to get an overall sense of them. You don’t have to read each one!

Is Soledad Galli responsive to student questions in the FEFML training?

You can see what other students have to say about this in their FEFML reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Soledad Galli a message through this system quite easily, even if you haven’t bought FEFML yet.

For example, you could say, “Hi, and I came across FEFML while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Feature Engineering for Machine Learning on your own, online?

This is a big one, because Feature Engineering for Machine Learning is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Feature Engineering for Machine Learning.

Yes, you will be able to interact with the students and the teacher, Soledad Galli, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of FEFML make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Feature Engineering for Machine Learning training that looks something like this:

  • The purpose of FEFML can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Soledad Galli is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other FEFML students have great things to say about the program

Other benefits include:

  • You get to go through FEFML at your own pace
  • You join a community of 3,532 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that FEFML would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford FEFML?

Can you comfortably afford the cost of Feature Engineering for Machine Learning?

This is an important question to answer, because even if you think FEFML sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before September 17, 2021, the price was $12.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on FEFML with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on Feature Engineering for Machine Learning?

By far, the easiest way to get the best and biggest discount on this course is to use the Feature Engineering for Machine Learning discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Soledad Galli’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best FEFML course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting FEFML for a better price, but also with any other Soledad Galli Udemy course that you’d like to get for cheaper.

How can Google help you get a FEFML discount?

To use this method, do a Google search for the FEFML training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy Feature Engineering for Machine Learning promo code” or “Feature Engineering for Machine Learning udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Soledad Galli’s name and see what happens.

For example, you might do a Google search for “Soledad Galli Udemy coupons” or “Soledad Galli course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “Feature Engineering for Machine Learning coupons” rather than “Soledad Galli coupons”.

How can a Udemy sale get you FEFML for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get FEFML for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Soledad Galli decides not to participate in the site wide sale, then you won’t get a discount on FEFML, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the FEFML course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a FEFML discount from Soledad Galli?

If you’re really serious about getting “Feature Engineering for Machine Learning” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Soledad Galli, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Soledad Galli’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Feature Engineering for Machine Learning. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Soledad Galli’s mailing list, if you can find it, and then you hope that at some time FEFML will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get FEFML for free?

Of course, the best possible price for the FEFML training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Soledad Galli has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “Feature Engineering for Machine Learning free coupon” or “Feature Engineering for Machine Learning 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Soledad Galli has offered free coupons for FEFML in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a FEFML free download?

It’s important to understand that there’s a difference between getting full access to the FEFML training for free legally with a free coupon code vs. finding a way to download FEFML illegally.

If you really want to go the download route, you can do a google search for something like “Feature Engineering for Machine Learning download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “Feature Engineering for Machine Learning free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Soledad Galli created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 3,532 students enrolled in the program.

Can you get a refund on Feature Engineering for Machine Learning if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the FEFML training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Soledad Galli’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on FEFML no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the FEFML training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Soledad Galli could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing FEFML and not liking it, since you can always get your money back.

What is OCP’s overall rating of Feature Engineering for Machine Learning?

During this FEFML review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the FEFML training, the instructor, Soledad Galli, and reading what other students have said about this program, we give it an overall rating of 4.8 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to Feature Engineering for Machine Learning?

If you like this course, you might also be interested in:

1. Algorithmic Problems in Java (+INTERVIEW QUESTIONS)

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Taught by Software Engineer

2. Dart – Beginners Course

No experience required

Taught by Computer Guru

3. CCA131 Cloudera CDH 5 & 6 Hadoop Administrator Master Course

Master Cloudera CDH Admin. Spin up cluster in AWS, Mess it, Fix it, Play it and Learn. Real time demo on CCA131 Topics.

Taught by iSMAC Technologists

4. The Complete Spring Batch Developer Course

Learn how to design and develop robust batch applications with the power of the Spring Batch framework.

Taught by Best Comprehensive Courses from Expert Instructors

5. Computer Forensics Fundamentals

An introduction to Computer Forensics, to demonstrate the process of going from the crime scene to the court room.

Taught by IT and Business Professional, Database Developer, ACE, ENCE

TLDR: Just the quick facts about FEFML

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what FEFML’s online training is all about:

FEFML coupon & course info

Course Name: Feature Engineering for Machine Learning

Subtitle: Transform the variables in your data and build better performing machine learning models

Instructor: Taught by Soledad Galli

Category: Development

Subcategory: Other

Provided by: Udemy

Price: $12.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

FEFML review info & popularity

Prior to September 17, 2021…

Students: 3,532 students enrolled

Ratings: 1,445 reviews

Rank: ranked #408 in Udemy IT & Software Courses in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Feature Engineering for Machine Learning is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

FEFML final details

Languages: English

Skill level: All Levels

Lectures: 124 lectures lectures lessons

Duration: 10 total hours hours of video

What you get: Pre-process variables that contain missing data

Target audience: Beginner Data Scientists who want to get started in pre-processing datasets to build machine learning models

Requirements: A Python installation

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons