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Daniel Rosquete

Daniel Rosquete
Spain
Computer Science
Masters Degree

Machine Learning: Regression

Written 3 years ago
It is just excellent!

At the end of the course you should have your own toolbox to create regression models without needing any license or support.

It is hard though, but its worth it!
My rating
Daniel Rosquete completed this course, spending 6 hours a week on it and found the course difficulty to be hard.

Machine Learning Foundations: A Case Study Approach

Written 3 years ago
It is a great course for beginneers in Machine Learning, to know what you could do.

Many people may say that you won´t do your own algorithms, and that you will always require a commercial license, but that is not true. Even when in this course it is absolutely true, the following courses are not like that.

It is awesome and the professors are great!
My rating
Daniel Rosquete completed this course, spending 4 hours a week on it and found the course difficulty to be very easy.

The Data Scientist’s Toolbox

Written 3 years ago
Well, this course is nice for beginners, specifically those who don´t have a clue about R language.

For those who already knew R and a little bit of github, is just a couple of hours of lectures and that will be it
My rating
Daniel Rosquete completed this course, spending 4 hours a week on it and found the course difficulty to be very easy.

R Programming

Written 3 years ago
This course is really well thought!

The big deal, is that R is not similar to other languages, so, in my case, I used to work with C, JS and Python (Too different I know), and this language is really another deal...

So, in this course at the beginning you may think "Hey, You can do the same thing in 20 different ways, that´s cool!" however, you should try to choose just a couple of ways to do it, otherwise is a little confusing.
My rating
Daniel Rosquete completed this course, spending 6 hours a week on it and found the course difficulty to be medium.

Statistical Inference

Written 3 years ago
Too much content for a few weeks, if you don´t have a clue about statistics, It will be hard.

Also, the professor isn´t bad, the guy really knows a lot, but the teaching method is not awesome as in the other courses. Maybe a little more didactic (Specially because of the math), would be helpful, more examples and more weeks to cover the whole content.
My rating
Daniel Rosquete completed this course, spending 6 hours a week on it and found the course difficulty to be hard.

Exploratory Data Analysis

Written 3 years ago
My rating
Daniel Rosquete completed this course.

Getting and Cleaning Data

Written 3 years ago
Ok, this course is really helpful!

Everything on it has no waste at all, this course is a must for a data scientist!
My rating
Daniel Rosquete completed this course, spending 6 hours a week on it and found the course difficulty to be medium.

Regression Models

Written 3 years ago
My rating
Daniel Rosquete completed this course.

Machine Learning: Classification

Written 3 years ago
The course is great, as the others in this specializations, they really make it simple, but they are not going deeper in the algorithms, however it is really great!
My rating
Daniel Rosquete completed this course, spending 10 hours a week on it and found the course difficulty to be medium.

Reproducible Research

Written 3 years ago
My rating
Daniel Rosquete completed this course.

Practical Machine Learning

Written 3 years ago
My rating
Daniel Rosquete completed this course.

Neural Networks and Deep Learning

Written a year ago
The course was good, Andrew NG is undoubtedly a great mind with too much knowledge, however, all the lessons were written on a white board. Is not that bad, but is not the easiest way to learn nevertheless.
My rating
Daniel Rosquete completed this course, spending 4 hours a week on it and found the course difficulty to be medium.

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