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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 ...
WnagoiYy's user avatar
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, ...
Ahmed Mohamed's user avatar
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 ...
MAS's user avatar
  • 45
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 ...
The Great's user avatar
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 ...
Esi's user avatar
  • 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 ...
Esi's user avatar
  • 53
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?
user avatar
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) ...
Shaelander Chauhan's user avatar
0votes
1answer
441views

How to grid search feature selection and neural network hyperparameters in the same grid?

I'm using the GridSearchCV () class from scikit to perform hyperparameter optimization in a sequential neural network. I've built a pipeline to also find the best ...
kaylani2's user avatar
3votes
1answer
2kviews

incremental learning vs transfer learning

Can anyone explain me how incremental learning differs from transfer learning with example? Also does Transfer learning limited to neural networks?
Nitin Desai's user avatar
2votes
2answers
6kviews

How to normalize complex-valued data?

I'm taking the abs of all elements, compute the mean, subtract it off from the original values. I just feel that this is not correct and can change the vectors. I'm also dividing by the standard ...
Alex Deft's user avatar
0votes
1answer
942views

Advice on transitioning from Andrew Ng's Stanford Coursera Machine Learning (in MATLAB) into Python?

I'm currently finishing up Andrew Ng's Coursera course, taught in MATLAB/Octave, but I'm looking to code in Python. The course is an introduction into how some algorithms work from scratch. These ...
Greg Rosen's user avatar
5votes
1answer
3kviews

Checkpoints in Sklearn

Is there a way to save the current state of your experiment so that you can pick up from where you left off in Sklearn similar to checkpoints in Keras?
Sreejithc321's user avatar
1vote
0answers
166views

Tool For Multi-Label Image Classification

I am currently working on a project that requires multi-label image classification. The best way to achieve this seems to be through Binary Relevance. I was intending to use a convolutional neural ...
Felandric's user avatar
1vote
0answers
50views

Building a predictive algorithm in python using an inspection sensor data of an assembly line (manufacturing)

We have a manufacturing assembly line. At the end of it, there is a sensor that can measure the final product. There is a set engineering tolerance so the product will be inside the limit (OK) or ...
Gonzo's user avatar

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