Machine Learning 101 with Scikit-learn and StatsModels (Udemy.com)

New to machine learning? This is the place to start: Linear regression, Logistic regression & Cluster Analysis

Created by: 365 Careers

Produced in 2022

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What you will learn

  • 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

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Quality Score

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Overall Score : 92 / 100

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Course Description

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!Who this course is 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

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Also, you may need to apply the coupon code directly on the cart page to get the discount.

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Instructor Details

365 Careers

365 Careers is the #1 best-selling provider of finance courses on Udemy. The company's courses have been taken by more than 500,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.
Currently, the firm focuses on the following topics on Udemy:
1) Finance Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA
2) Data science Statistics, Mathematics, Probability, SQL, Python, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, and Tableau, Credit Risk Modeling
3) Entrepreneurship Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing
4) Office productivity Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook
5) Blockchain for Business
All of the company's courses are:
Pre-scripted
Hands-on
Laser-focused
Engaging
Real-life tested
By choosing 365 Careers, you make sure you will learn from proven ex

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Reviews

4.6

28 total reviews

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very good course to learn the Linear regression, Logistic regression and clustering methods in details.

One of the best course for the Data Science learns and clear explanation for the topic with code.

Good material and very clear pronunciation but in parts over paced and then to little hints for getting better background. But in general, a very worthwhile curse on the subject gets you fast to the intuition with the test statistics. The python part gives a nice entry point for real projects or actually knowing where to start with sklearn, very cool.Nice would have been if the 2 feature sets just also been plotted 3d, it is still possible to visualize I think this would have been nice.

very informative beginner's course. provided good hands on for practice, although a bit light on theory. The pace is comfortable, and presentation is clear, good!

The real person is missing. Feels dramatized teaching, not like the real one. Overall the course is good.

Good starting point for digging into ML, theoretical approaches, very good explanations, helpful comments on the code

all concepts have been clearly explained. However it would be good to include one working example of doing linear regressions with arrays

Very thorough for 101. Allow about double the time for this. You will want to go over the exercises and try things.

One of the best course I have ever taken on regression. I have really enjoyed the course. The exercises are pretty awesome and well structured. Though I believe the course is complete but I have one request to the author that to include a step wise regression methodology which make this course 110% complete. 100% recommended course.

Very Good to explain Linear Regression and Statistic Model

fantastic course for beginners

I like this course so far. They are the best creating courses for Udemy