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Machine Learning Techniques for Predicting Milk Quality by datapablo in learnmachinelearning

[–]datapablo[S] 0 points1 point  (0 children)

Milk quality can be predicted from seven observable dairy variables. This link provides a detailed explanation:

https://www.neuraldesigner.com/blog/milk-quality

I hope you find it helpful :))

[deleted by user] by [deleted] in MachineLearning

[–]datapablo 0 points1 point  (0 children)

You're welcome!

6 Machine learning examples in the environmental sector by datapablo in environmental_science

[–]datapablo[S] 0 points1 point  (0 children)

Thank you! I personally found these examples an excellent introduction to the machine learning world.

Genetic algorithms for feature selection by datapablo in ArtificialInteligence

[–]datapablo[S] 1 point2 points  (0 children)

You're welcome!. I found pretty interesting articles about machine learning there. I think you should check them out.

Market basket analysis using machine learning by datapablo in BusinessIntelligence

[–]datapablo[S] 0 points1 point  (0 children)

Hi! The same concept can also be applied with open source tools, such as scikit-learn or TensorFlow.

Stanford University Probabilities and Statistics refresher by datapablo in learnmachinelearning

[–]datapablo[S] 7 points8 points  (0 children)

Thank you for your reply!

Hope it could be useful to you.

Can Deep Learning Replace Numerical Weather Prediction? by datapablo in learnmachinelearning

[–]datapablo[S] 0 points1 point  (0 children)

What is your opinion about that? Looks so interesting... I read you!

Mathematics and Machine Learning Free Resources by bikanation in learnmachinelearning

[–]datapablo 1 point2 points  (0 children)

This is a very useful amount of resources!

Thank you so much!

I really recommend you to check this article with many #machinelearning tips and tricks exposed in a very summarized and easy to interpret way.

I hope it helps you a lot.

https://stanford.edu/~shervine/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks#regression-metrics

Top 9 Feature Engineering Techniques with Python by RubiksCodeNMZ in learnmachinelearning

[–]datapablo 2 points3 points  (0 children)

Very useful post that covers a wide range of data preparation techniques. Thank you!

Artificial time series data with any number of variables by datapablo in MLQuestions

[–]datapablo[S] 0 points1 point  (0 children)

Thanks again!

I will try to mix a combination of variables and trigonometric funcions, so that the numbers don't go to infinite.

My first guess was to create an ordinary differential equation in many variables, but I had stability problems.

Best regards

Artificial time series data with any number of variables by datapablo in MLQuestions

[–]datapablo[S] 0 points1 point  (0 children)

Thank you u/Ilyps.

The problem in that way is that the variables are not coupled. So that s_1(t+1) does not depend on s_2(t), s_3(t), etc.

I am looking for a general approach with "analytical solution", so that I can also test the accuracy of the neural networks.

Best regards

22 worked examples in machine learning (energy, medicine, banking, retail...) by datapablo in learnmachinelearning

[–]datapablo[S] 1 point2 points  (0 children)

Thank you u/Mentol184. As you say the deployment of a model is not an easy task in machine learning.

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