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Voltar para Aprendizagem automática com Python

Comentários e feedback de alunos de Aprendizagem automática com Python da instituição IBM Skills Network

4.7
estrelas
13,621 classificações

Sobre o curso

Get ready to dive into the world of Machine Learning (ML) by using Python! This course is for you whether you want to advance your Data Science career or get started in Machine Learning and Deep Learning. This course will begin with a gentle introduction to Machine Learning and what it is, with topics like supervised vs unsupervised learning, linear & non-linear regression, simple regression and more. You will then dive into classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN. With all the many concepts you will learn, a big emphasis will be placed on hands-on learning. You will work with Python libraries like SciPy and scikit-learn and apply your knowledge through labs. In the final project you will demonstrate your skills by building, evaluating and comparing several Machine Learning models using different algorithms. By the end of this course, you will have job ready skills to add to your resume and a certificate in machine learning to prove your competency....

Melhores avaliações

RC

6 de fev de 2019

The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.

FO

8 de out de 2020

I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.

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226 — 250 de 2,376 Avaliações para o Aprendizagem automática com Python

por Nabham G

6 de mai de 2020

Crisp and clear course. Professors, up to the point and very clear explanation. The provided notebooks were super helpful for the final assignment submission. Everything was just awesome and organized well in detail.

por Amitayu B

11 de mar de 2020

A wonderful course for beginners. Linear Regression, Classification (K-NN, DT, SVM, logistic regression) and Clustering algorithms (K-means, Hierarchical, DBSCAN) with its respective Python codings clearly explained.

por Apurva N

28 de mar de 2020

I was working in an organization on a project related to predictive modelling using python. This course has helped me a lot to increase my knowledge and assisted me in completion of the project in a very smooth way.

por TIAGO B L

23 de abr de 2019

great course! my mainly consern today is about my time. There are lots of courses out there and its dificult to choose one to invest your time on. This one is, in my view, is perfect: Teaches a lot in a concise way.

por Muthyala S

9 de ago de 2021

ABSOLUTELY FANTASTIC! WELL DESIGNED COURSE FOR BEGINNERS. THIS COURSE HAD GIVEN ME A SOUND INDERSTANDING OF THE FUNDAMENTALS OF THE MACHINE LEARNING ALGORITHMS AND THEIR APPLICATIONS.

KUDOS TO CREATORS! GREAT WORK!

por Ritesh T

2 de jul de 2019

From Nowhere to somewhere. Definitely worth, I was afraid of Python, but with the professor's teaching, and little bit of youtube studies, I am some how confident that I can handle data in python. A big thumbs up!

por LO W

10 de out de 2021

Learning machine learning without stress. The essential models including regression, classification, clustering and recommender system are introduced with application. Hand-on section let you practice the tools.

por Siddhesh M

3 de jul de 2019

It is a very great course to start. Theory lectures are very easy to understand and the practical labs provided gives you the insights of it and really boosts the confidence. Very comfortable to watch and learn.

por Saurabh D

4 de jun de 2019

its the perfect course to start the journey of worlds most demanding technology. well structured and organised with good knowledge and it will definitely increase knowledge about ML, no matter how much you know.

por John M N

6 de mar de 2022

A pleasant overview of ML algorithms and using the Scikit-learn library. I recommend one take notes during the concise lecture videos, they are needed for the quizes, test, and overall learning-- stay enguaged!

por Aditya V

2 de set de 2020

One of the best course, i have taken till now, Including lots of important content related to machine learning, I would recommend this course to a beginner in machine learning. I learned a lot from this course.

por Bhavesh G

7 de abr de 2020

I've learn about different machine learning techniques like regression, classification, clustering and recommendation system. I've suggest this course to everyone who will build their career into Data Science.

por afsaneh l

30 de mai de 2019

I really enjoyed this course. It helped to understand different machine learning projects. Also, I became familiar with a lot of libraries in Python which are very useful in coding machine learning algorithms.

por Okta F S

31 de mai de 2020

This is very great course. From this course I can learn fundamental concept of machine learning with Python like building classifiers using k-nn, decision tree, support vector machine and logistic regression.

por A A A

6 de jul de 2020

Very beautiful course, continuation from IBM Data Science Specialization. Instructors did a great job explaining the basic Machine Learning algorithms. I honestly enjoyed the Capstone week: Best classifier.

por Deleted A

4 de nov de 2019

This course was very useful to get clear about basics of machine learning. Thank you for making such informative and easy to understand videos. I would like to learn more about machine learning.

Thank you!!

por Ankan K P

6 de mai de 2020

It is a good course for both beginners and intermediate.But i will suggest you to before starting this course make sure that you are master in python basics,numpy,pandas,skypy,sckit learn,matplotlib etc.

por P P R V T C

11 de mai de 2022

machine learning with python , the out come of this course is very good , all the quiz programmers and assignments in this course are very usefull for getting knowledge in machine learing with python .

por Ishani S

3 de mai de 2020

A thorough introduction to Machine Learning for beginners. I loved this course because it explains the Machine Learning concepts very well. This course motivates me to do more study in Machine Learning!

por Anthony F

20 de fev de 2020

Challenging and fun course that took everything we learned previously and built on it. As someone coming in with RStudio experience, it still stretched out my ability to code in this different language.

por Pranjal S

28 de jul de 2019

Very basic course which includes important machine learning models. This course doesn't go to depth of the topic.But overall I like the labs environment which feels practical because they are in python.

por Carol C

19 de abr de 2021

I learning the principle of each algorithm. It's clear and easy to get the principle. It's pretty good to learn ML in such a way, not too much information in one week. Thanks, IBM provides this course.

por Franco M V

23 de mai de 2020

Excelente curso! Explican aspectos matemáticos y estadísticos complejos con mucha simpleza, lo que lo hace entendible inclusive para la gente que no tiene ancetedentes en la materia. Felicitaciones!

por Nicole D

16 de jul de 2020

This course is a great way to start learning about ML, as it sets out what you need to do step-by-step, explains very clearly why, and gives you a chance to experiment and practise. Thank you IBM!

por Filipe F

10 de dez de 2021

Great course, they teach the very basic steps for data analysis world, which is awesome so we can get a solid basics understanding, the tests are in a great level (neither too easy nor too hard).