86 questions
I had a similar problem with some programming study sites, so I'd like to ask you an example. I copied and ran the following sample code while studying in Python in the Python machine learning program...
We use a chain to learn time series data.For example, create a model by repeatedly learning EPOCH:100 with data from A1 to A99.We expect the following data (assuming Q100):Save the model and reflect t...
I am a university student studying machines using the free software Orange.We are currently dealing with the problem of getting six output values for three input values.I would like to know as a numer...
How on earth should I use it?from sklearn.cross_validation import LeaveOneOutfrom sklearn.model_selection import LeaveOneGroupOutI'd like to import it, but no matter how much I look online, I can't fi...
The video classification is based on a combination of CNN and RNN, and the correct answer rate is low in the test data, while the training data shows an almost 100% correct answer rate.However, the co...
I'm thinking of using the average difference when I select feature quantities for clustering.I believe that if we select the characteristic amount of the attributes with the larger average difference ...
Python, I'm a beginner in machine learning in about a week.I'm sorry it's a very rudimentary question, but I'd appreciate it if you could help me.I'm thinking of doing logistic regression analysis usi...
This is a question about regression using scikit-learn's decision tree.In this algorithm, .score and predictive accuracyThe .features_importances_indicates the importance of feature quantities is I'm ...
What is KaggleIf you go to Kaggle's site, as it says at the top, The Home of Data Science & Machine Learning is a community of about 400,000 people working in machine learning and data science aro...
I understand that neural networks can calculate output from an input and then apply it to which category the input is classified, but can they also be applied to input and output in the same format?
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