Sale!

Machine Learning A-Z™ Masterclass [Certification] – Udemy

(10 customer reviews)

$15

Category:

Description

What you’ll learn

  • What is Machine Learning? And if a computer can think – can it learn?
  • The impacts Machine Learning and Data Science is having on society.
  • To really understand computer technology has changed the world, with an appreciation of scale.
  • To know what problems Machine Learning can solve, and how the Machine Learning Process works.
  • How to avoid problems with Machine Learning, to successfully implement it without losing your mind!
  • To understand how these different domains fit together, how they are different, and how to avoid the marketing fluff.
  • To understand what id reinforcement learning and how it is associated with machine learning and artificial intelligence
  • Classical Statistical Regression Modelling Techniques Such As Linear Regression, Polynomial regression and Lasso regression
  • Clustering models of Machine Learning like the k-means and hierarchical clustering

Here is why you should take this course:

Unlock the secrets of understanding Machine Learning for Data Science!

In this introductory course, we will guide you through the wilderness of Machine Learning for Data Science. Accessible to everyone, this introductory course not only explains Machine Learning, but where it fits in the “techno sphere around us”, why it’s important now, and how it will dramatically change our world today and for days to come.

This course is your complete guide to both supervised & unsupervised learning. This means, this course covers all the main aspects of practical data science and if you take this course, you can do away with taking other courses or buying books on Python based data science.

In this age of big data, companies across the globe use Machine Learning to sift through the avalanche of information at their disposal.

Cluster analysis is a staple of unsupervised machine learning and data science.

It is very useful for data mining and big data because it automatically finds patterns in the data, without the need for labels, unlike supervised machine learning.

In a real-world environment, you can imagine that a robot or an artificial intelligence won’t always have access to the optimal answer, or maybe there isn’t an optimal correct answer. You’d want that robot to be able to explore the world on its own, and learn things just by looking for patterns.

In this course we will talk about clustering. This is where instead of training on labels, we try to create our own labels! We’ll do this by grouping together data that looks alike.

There are 2 methods of clustering we’ll talk about: k-means clustering and hierarchical clustering.

Next, because in machine learning we like to talk about probability distributions, we’ll go into Gaussian mixture models and kernel density estimation, where we talk about how to “learn” the probability distribution of a set of data.

By becoming proficient in unsupervised & supervised learning, you can give your company a competitive edge and boost your career to the next level.

Regression analysis is one of the central aspects of both statistical and machine learning based analysis.

This course will teach you regression analysis for both statistical data analysis and machine learning.

It explores the relevant concepts from basic to expert level.

This course can help you achieve better grades, give you new analysis tools for your academic career, implement your knowledge in a work setting & make business forecasting related decisions.

Who this course is for:

  • Before you load Python, Before you start R – you need this course. This introductory course will introduce you to the Fundamentals, that you need before you start getting “Hands-on”.
  • Anyone interested in understanding how Machine Learning is used for Data Science.
  • Including business leaders, managers, app developers, consumers – you!
  • Adventurous folks, who are ready to strap themselves into the exotic world of Data Science and Machine Learning.
  • Students Interested In Getting Started With Data Science Applications.

Course content

  • Introduction to Machine Learning
  • Getting started with ML
  • Groundwork for ML
  • Reinforcement Learning
  • Statistics as the base
  • Regression Models of Machine Learning
  • Clustering Models of Machine Learning

10 reviews for Machine Learning A-Z™ Masterclass [Certification] – Udemy

  1. Donny Phan

    Super practical. Lessons are catered towards anyone looking to find work in this industry. It felt very comprehensive and gave me a broad understanding of the programming spectrum

  2. Madhav raj Verma

    Thanks for your great effort. i am fully satisfied with this course the way you teach and your explanation are very clear ,The content you provide in your course no one can do this at this price.

  3. Sachin Gupta

    I really didn’t want to leave a low rating as Angela is a great teacher. The 1st half of this course was terrific. The 2nd half was terrible. Under the justification of “teaching students how to figure things out on their own”, pretty much all videos and all explanations were dropped. You were just told what to do, given links to documentation and told to figure it out on your own. I understand doing that to some degree, but to revert to that entirely for nearly half the content barely makes this a course. It’s just a list of things for you to learn, then you’re left on your own to learn them. The 2nd half was so bad, especially the data science component, that I didn’t bother finishing the course.

  4. Vincent Beaudet

    Amazing 40 days course.
    Angela is a great teacher.
    The other 60 days are all about web developement, interacting with web pages, on your own with little to no explanations. I did not expect that at all. I wanted to learn more about software and scripting.
    This left me disappointed , confused and i started to doubt myself. Not a fun experience after the amount of effort i’v put in this course.

    Exercices format and explanations for the first 40 days were worth it tho.

  5. Ben K

    Not just an introduction to python, but really helps you learn fundamental aspects of python and coding in general. Some parts may require some knowledge on the subject (data science comes to mind) and there is quite some web development in the course. So, a few areas were not completely to my liking (I would have liked to see it done differently), but this course deserves the 5 stars in my opinion.

  6. Omid Alikhel

    I found the method a bit difficult when a code is written and then changed back to something different, with no enough explanation of how something happened and where it came from or a step by step explanation of why something is happening, i have no doubt in the instructors talent, but we are beginners!

  7. Devang Jain

    The course is not updated and most of the solution codes don’t work and there are no video solutions towards the end

  8. Szymon Kozak

    I think that the course tutor is really good in giving right information to learn at the right time. Thanks to this fact, my understanding of coding in python after 29 days of learning is above my expectations.

  9. Begoña Ruiz Diaz

    Ha sido la mejor elección que podría haber hecho.

  10. Vaibhav Sachdeva

    I want to thank Angela for making such an amazing course. It really helped me explore more things with python.

Add a review

Your email address will not be published.