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Bewertung und Feedback des Lernenden für Predicting the Weather with Artificial Neural Networks von Coursera Project Network

Über den Kurs

In this one hour long project-based course, you will tackle a real-world prediction problem using machine learning. The dataset we are going to use comes from the Australian government. They recorded daily weather observations from a number of Australian weather stations. We will use this data to train an artificial neural network to predict whether it will rain tomorrow. By the end of this project, you will have created a machine learning model using industry standard tools, including Python and sklearn. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
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1 - 3 von 3 Bewertungen für Predicting the Weather with Artificial Neural Networks

von Lasal J

17. Apr. 2021

A well-balanced project. kudos!

von Cihat K

6. Juni 2021

I completely understand everything in the project, but I learnt nothing new from it, and I don't think if I would learn anything at all if I did not already know all of the concepts and methods in the project. It was extremely short for a $10 project and there was too little explanation on any concept or method. Kaggle, Youtube and many data science-related websites have much better projects with much better guidance than this. I wouldn't advice anyone to pay a penny for this project. This was the first, and probably the last, Coursera project that I have paid for. If the other projects are like this, then I would say the projects are just a scam if you have to pay any money at all. Courses here in Coursera have much better exercises and instructions.

von Erick S G P

23. Juni 2021

The tutor does not explain the decisions taken very often and overlooks important concepts. This guided project does not teach anything new, apart from what can be seen in free platforms like kaggle or youtube. This guided project would be way better if there were exercises in between the videos to test the learnt content and a final project in a new dataset and not just repeat what the tutor says to the letter.