All Questions
Tagged with scikit-learndeep-learning
50 questions
0votes
0answers
28views
Please give me suggestions to identify scammers from communication data
I have some communication behavior data of carrier subscribers, containing information on calls made, duration and base stations. What do I need to do with this kind of data or what kind of machine ...
0votes
1answer
134views
Export a detailed report with metrics after the training process of a Keras model
I have an image-segmentation model (.h5) which was trained using dice coefficient, recall and precision metrics. The model was trained using the ImageDataGenerator class with the following code: ...
- 111
0votes
1answer
385views
Sklearn vs Pytorch vs Tensorflow vs Keras
I just need to understand the differences between sklearn, pytorch, tensorflow and keras in terms which implements traditional machine learning algorithms ( Linear regression , knn, decision trees, ...
1vote
0answers
2kviews
Equal error rate for multiclass (non-binary) classifier
In many biometrics identification papers they measure they performance by computing Equal Error Rate (EER). When dealing with verification problem, or any other binary classification problem - the ...
- 123
1vote
2answers
2kviews
Exploratory data analysis (EDA) on large dataset
I am working with lots of data (we have a table that produces 30 million rows daily). What is the best way to explore it (do on EDA)? Take a frictional slicing of the data randomly (100000 rows) or ...
- 45
0votes
1answer
31views
Are most deep learning models online learning models?
I'm online learning starter. from my perspective, online learning model is the model which can update its paramater with data flows(I've seen a article pointing out that incremental model is ...
0votes
1answer
863views
Fitting column wise ordinal encoder
I already posted this here but no response, so posting it here I have a dataframe like as shown below ...
- 2,715
4votes
1answer
767views
How can I choose the best machine learning algorithms from all kinds of algorithms?
When I want to find a model for my data set, I find that there are lots of algorithms that I can use. I know how to minimize selection choices by separating supervised and unsupervised algorithms and ...
- 53
0votes
1answer
39views
how to choose the best machine learning algorithms from all kinds of algorithms? [duplicate]
guys, I am a beginner at data science and I’ve been learning machine learning for a while with some courses online without any help of a teacher and after I’ve got to work with some real projects on ...
- 53
0votes
2answers
8kviews
NameError: name 'model' is not defined Keras with f1_score
I'm having a problem with my Keras model, in the .compile() I use accuracy, loss, precision, recall and AUC, but also I need f1_score, due to Keras doesn´t include f1_score, I tried to calculate by ...
- 13
1vote
0answers
90views
Why are the results from the keras validation split different from sklearn metrics?
I am training a Keras model, and running: model.fit(X, y, epochs=10, validation_data=(X_test, y_val)) I'm using AUC, precision, and recall as the metrics (also ...
- 111
0votes
0answers
19views
How to perform nonlinear regression on data with error?
Most of of physical measurements are associated with error, I am wondering how to perform nonlinear regression in this situation. In the linear case, there are few methods like Deming Regression, ...
0votes
1answer
31views
Tensorflow for Deeplearning and Machine learrning
We can use TensorFlow for both machine learning and deep learning. So why do we use scikit-learn more in machine learning and not TensorFlow? Are they both alternatives of each other?
user123037
4votes
3answers
2kviews
can't understand the Architecture of Neural Network
Please explain how Z1 is working I just want to know why W is of shape (4,3) I understand that there are four Weights we are performing (4,3)*(3,1) + (4,1) but I don't understand what is 3 in (4,3) ...
0votes
0answers
789views
Why am I getting good validation scores, but poor test scores in Kaggle competition
I am participating in a Kaggle multiclass classification competition. The submissions will be scored based on the 'logloss' score. I am using Keras and Scikit libraries and a deep learning network ...
- 101
