Coding School
8.1/10
(Our Score)
Product is rated as #239 in category Machine Learning
In this course you will learn all the machine learning models that has vast applications and mostly used. We will cover all the mathematics behind every Machine Learning Model so that you understand what actually happens behind the scene and how we actually train the machine to make future decision. We will then move on to implement all machine learning models in Python. We will build the template of every machine learning model and will look at its visual representation as well
After taking this course, you guys should be able to know not just the implementation part but also you will have a genuine understanding of every model behind the scenes.
Good Luck
Instructor Details
Votes: 0
Courses : 3
Specification: The complete Machine Learning Data Science Course in Python
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32 reviews for The complete Machine Learning Data Science Course in Python
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| Price | $14.99 |
|---|---|
| Provider | |
| Duration | 8.5 hours |
| Year | 2020 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
The complete Machine Learning Data Science Course in Python
$14.99
Shakeel Awan –
Much Better
Shakeel Awan –
Much Better
Premanand S –
programs could be more clarity like in template mode.. my suggestion / point is instead of using spyder you can done it in jupyter notebook.. bcoz flow is disturbed so much when u changed in the middle and again running kind of thing!
Ckmillia Jones –
Excellent Presentation of Machine Learning Models
Ckmillia Jones –
Excellent Presentation of Machine Learning Models
Henry Fold –
Good Course
Henry Fold –
Good Course
Rowene Scandy –
I have got so far a very good presentation from the course
Rowene Scandy –
I have got so far a very good presentation from the course
Henry Anderson –
Very Good Course
Henry Anderson –
Very Good Course
Eva Beck –
The Instructor has very well explained the logics behind all Machine Learning Model…Much appreciated
Eva Beck –
The Instructor has very well explained the logics behind all Machine Learning Model…Much appreciated
Mahesh Rao –
Good course to get start with ML
Mahesh Rao Pathangi –
Good course to get start with ML
Aamina Kumar –
That is a great course…I am super enjoying it
Aamina Kumar –
That is a great course…I am super enjoying it
Damien Siew –
Simple and clear enough to follow. However, there were some typos here and there, and I think some topics are missing.
Damien Siew –
Simple and clear enough to follow. However, there were some typos here and there, and I think some topics are missing.
Nesham Udemy –
The effort of the instructor is really appreciated!
Nesham Udemy –
The effort of the instructor is really appreciated!
Eric Fuji –
It is a wonderfully amazing course
Eric Fuji –
It is a wonderfully amazing course
Archer F –
Excellent Sir…Thanks for the course
Omoche –
It was a good match, but there are several missing links. I found it kind of incomplete. However, the course was very useful.
Omoche –
It was a good match, but there are several missing links. I found it kind of incomplete. However, the course was very useful.
Kumar Aniket –
Overall, I felt this course was an excellent introduction to Machine Learning & Data Science for Python coders. The lessons are concise & Each succeeding lesson builds on and reinforces what you have already learned. Good course to get start with ML for beginners who are confused over concept of various ML algorithm as this course is Simple and clear enough to follow and understand. To get the most out of it expect spending a good amount of time practicing what you learn. I recommend it to anyone interested in Machine Learning. The Instructor has very well explained the logic behind all Machine Learning Model…Much appreciated
Alyssa Amboy –
Incomplete
Jake Johnson –
Best course ever I have seen on any platform….
Jay Mohnani –
I really loved this course…The intuition part is covered well in depth and is very understandable, concise and clear
Euan Steven –
Wow this is best course I have ever seen on Udemy specially the intuition videos are covered in the best and understanding way.. LOVE IT!
Pierre Louis Weiss –
I wish there was a section with more math that would help dive into the real mechanism of each methods. For exemple, SVM is a really difficult mathematical concept to grasp alone. And using only graphical explanation isn’t enough to really understand the underlying mechanisms of the model. A data scientist must understand those things. Otherwise, you are juste copy pasting Sklearn API code, and everyone can do that. That would also help for the selection of the hyperparameters in each models. In random forest, how many leaves should i use in the model ? Default (30), 50 ? 70 ? I can’t know that because i don’t know the math behind it. Which mean i can’t choose parameters wisely, neither choosing a model over an oser wisely. Otherwise, the overall course is nice. The graphical explanation is well presented, and the code part is sufficiant. I just wish that machine learning labeled with data science in it were more precise, more complete and with more underlying math explanation.