All Questions
Tagged with algorithmsdata
10 questions
0votes
0answers
30views
Task Distribution
I would like to distribute tasks (going to companies and signing a deal) to sales representatives based on some condition like company location (is it near the representative's place) or profit of the ...
1vote
4answers
75views
Deep Learning model for classifying skin diseases
I have planned to create a deep learning model that classifies skin diseases(around 5 to 7 diseases). Please suggest me a good deep learning model to go with. I am planning to integrate this model as ...
- 11
1vote
0answers
22views
Triplet optimization producing a weird diagonal line?
I'm pretty sure this is the right forum for this, or let me know otherwise, I'll happily move this to a better place. I have a strange problem. I've written an algorithm designed to take three files ...
- 121
1vote
0answers
52views
Clustering data with a constraint
I am trying to find a way to cluster/group students by their knowledge of different subjects. Given following as an example: ...
- 119
1vote
0answers
148views
Is the Apriori algorithm suitable for database tuples?
Problem description: I need to use an association rule algorithm that lets me use database tuples and I think Apriori is a good option, but I am not sure. Starting point: I know the Apriori ...
- 111
0votes
1answer
296views
Machine Learning algorhtm that can be trained to learn Pig-Latin
Pig-Latin, and other similair argots, were quite popular when i was young (but since i grew up in Sweden the biggest was Rövarspråket). These language games almost always consist of a given set of ...
- 119
1vote
0answers
48views
Find irregular bounding shape of 3D particle distribution
I have some 3D particle data e.g. (x0,y0,z0) (x1,y1,z1) (x2,y2,z2) ... I want to find the irregular bounding shape of the distribution. The image below shows an ...
9votes
1answer
24kviews
What are the most suitable machine learning algorithms according to type of data? [closed]
I am beginner to data science. I found that some machine learning algorithms perform better, when given particular kind of data(ie - numerical, categorical, text, graphical). I searched about this ...
- 211
0votes
2answers
370views
How synthetic sampling of data helps classifier to predict better result?
I am currently working on data imbalance using SMOTE for binary and other algorithms for the multi-class problem. I have the idea how to create the synthetic example to bring noticeable accuracy on a ...
- 101
2votes
3answers
2kviews
Finding outliers in multiple dimensions
I'm working on a dataset which isn't normally distributed. The dataset contains three dimensions like cost, discount and profit. I'm trying to find possible outliers in all these dimensions. I used ...
- 151
