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Machine Learning 101 with Scikit-learn and StatsModels

New to machine learning? This is the place to start: Linear regression, Logistic regression & Cluster Analysis
4.7
4.7/5
(578 reviews)
9,191 students
Created by

8.8

Classbaze Grade®

7.7

Freshness

8.8

Popularity

9.4

Material

New to machine learning? This is the place to start: Linear regression
Platform: Udemy
Video: 5h 17m
Language: English
Next start: On Demand

Best Statistical Modeling classes:

Classbaze Rating

Classbaze Grade®

8.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

7.7 / 10
This course was last updated on 6/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.8 / 10
We analyzed factors such as the rating (4.7/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.4 / 10
Video Score: 8.4 / 10
The course includes 5h 17m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 50 minutes of 10 Statistical Modeling courses on Udemy.
Detail Score: 9.9 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

27 articles.
7 resources.
0 exercise.
0 test.

In this page

About the course

Are you an aspiring data scientist determined to achieve professional success?
Are you ready and willing to master the most valuable skills that will skyrocket your data science career?
Great! You’ve come to the right place.
This course will provide you with the solid Machine Learning knowledge that will help you reach your dream job destination.
That’s right. Machine Learning is one of the fundamental skills you need to become a data scientist. It is the stepping stone that will help you understand deep learning and modern data analysis techniques.
In this course, we will explore the three most fundamental machine learning topics:
• Linear regression
• Logistic regression
• Cluster analysis
Surprised? Even neural networks geeks (like us) can’t help, but admit that it’s these 3 simple methods – linear regression, logistic regression and clustering that data science actually revolves around.
So, in this course, we will make an otherwise complex subject matter easy to understand and apply in practice.
Of course, there is only one way to teach these skills in the context of data science – to accompany statistics theory with practical application of these quantitative methods in Python.
And that’s precisely what we are after. Theory and practice go hand in hand here.
We have developed this course with not one but two machine learning libraries – StatsModels and sklearn. As our practical experience showed us, they have different use cases and should be used together rather than independently.
Yet another advantage of taking this course? We are very conscious that data science theory is often overlooked.You can’t teach someone to run before they know how to walk. That’s why we will start slowly and continue by building complex ML models.
But don’t assume you’ll be bored by theory.
On the contrary! We have prepared a course that will get you results and will foster your interest in the subject matter, as it will show you that machine learning is something you can do, too (with the right teacher by your side).
Well, we hope you are as excited as we are, as this course is the door that can open countless opportunities in the data science world for you. This is a course you’ll be actually eager to complete.
On top of that we are happy to offer a 30-day money back guarantee. No risk for you. The content of the course is so outstanding , that this is a no-brainer for us We are 100% certain you will love it.
Why wait any longer? Every day is a missed opportunity.
Click the “Buy Now” button and let’s start (machine) learning together!

What can you learn from this course?

✓ You will gain confidence when working with 2 of the leading ML packages – statsmodels and sklearn
✓ You will learn how to perform a linear regression
✓ You will become familiar with the ins and outs of a logistic regression
✓ You will excel at carrying out cluster analysis (both flat and hierarchical)
✓ You will learn how to apply your skills to real-life business cases
✓ You will be able to comprehend the underlying ideas behind ML models

What you need to start the course?

• Basic coding skills in Python

Who is this course is made for?

• This course is for you, if you want to become a successful data scientist
• This course is great if you want to get acquainted with the fundamental machine learning methods
• This course is ideal for you, if you are a just getting started and want to gradually build up valuable skills in machine learning and data science

Are there coupons or discounts for Machine Learning 101 with Scikit-learn and StatsModels ? What is the current price?

The course costs $19.99. And currently there is a 83% discount on the original price of the course, which was $119.99. So you save $100 if you enroll the course now.
The average price is $14.7 of 10 Statistical Modeling courses. So this course is 36% more expensive than the average Statistical Modeling course on Udemy.

Will I be refunded if I'm not satisfied with the Machine Learning 101 with Scikit-learn and StatsModels course?

YES, Machine Learning 101 with Scikit-learn and StatsModels has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Machine Learning 101 with Scikit-learn and StatsModels course, but there is a $100 discount from the original price ($119.99). So the current price is just $19.99.

Who will teach this course? Can I trust 365 Careers?

365 Careers has created 80 courses that got 554,516 reviews which are generally positive. 365 Careers has taught 1,905,708 students and received a 4.6 average review out of 554,516 reviews. Depending on the information available, we think that 365 Careers is an instructor that you can trust.
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8.8

Classbaze Grade®

7.7

Freshness

8.8

Popularity

9.4

Material

Platform: Udemy
Video: 5h 17m
Language: English
Next start: On Demand

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