All Questions
Tagged with algorithmspython
44 questions
3votes
1answer
38views
The classifications from the model do not align well with business expectations or the "X" metric
Could this discrepancy be caused by the threshold strategy? If so, how should I optimize or adjust these thresholds? How can I better align the model outputs with the business context of "X"?...
0votes
1answer
47views
Trying to write a code that detects a maximum value before a drop off in slope
I'm trying to write code for a force test that will output the maximum force before structural failure occurs. I'm a bit of a novice to python, so the issue here might be something simple that I'm ...
3votes
0answers
83views
Where can I find implementation of the various improvements of K-nearest neighbors (KNN)?
I have been facing some challenges where traditional KNN algorithm perform well. I'd like to explore more advanced knn solutions. While researching possible solutions, I came across a paper titled <...
- 2,613
0votes
1answer
509views
Understanding the stochastic average gradient (SAG) algorithm used in sklearn
For pedagogical purposes I've been trying to create my own implementation of the stochastic average gradient (SAG) algorithm in a logistic regression framework. Page 10 of the associated paper ...
1vote
1answer
89views
Calculate the top 5 optimal parcel locker cabinet configurations
Dear Data Science community, I have the following problem to solve and I'd like to learn which algorithm or approach I can use to tackle it. I don't expect a full solution here but I really want to ...
- 111
1vote
0answers
42views
Algorithm Comparison for Influencers Ranking
I am working on ranking social influencers on Instagram according to their influential power with the metrics collected below. Metrics collected: username categories (the niche the influencer is in) ...
- 11
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 ...
0votes
0answers
61views
Determine optimal number of layers for a neural network based on the dataset
I have a Neural network architecture where there are N parallel-connected layers (min. 3). Based on the dataset and classes it has, the optimal number of layers differ. Eg. for dataset1 optimal number ...
Karan Owalekar
0votes
1answer
608views
How to gps data anomaly detection in python
I have gps format dataset lat, lon. I want to detection anomaly using python. I tested knn, smv, cof, iforest using pycaret. But i did not. These colors anomlay because the angle change is too much ...
4votes
1answer
170views
How do I minimizie cost for EV charging?
I want to find a charging schedule that minimize cost of charging an EV. The main objective is to have a fully charged car for the next morning, but the sub objective is to minimize cost based these ...
1vote
0answers
138views
Detecting a Piecewise, Noisy, Linear Signal, with Constant Slope and Changing Y-Intercepts
I am trying to algorithmically detect a 2D linear signal under some noisy data. It is almost a textbook candidate for Robust Linear Regression, except for the fact that, while the slope remains ...
0votes
1answer
40views
Any well documented algorithm/function for previously bought recommendation system
I'm working on a previously bought recommendation system for a project. The list I'm trying to sort is static and does not change over time. Assuming each user purchases different items at different ...
- 101
1vote
1answer
527views
How to select the best parameters for GridSearchCV?
I've created a couple of models during some assignments and hackathons using algorithms such as Random Forest and XGBoost and used GridSearchCV to find the best combination of parameters. But what I'm ...
- 13
0votes
1answer
32views
How to Identify Repeating Data Entries when the Repeated Entries are Spelled or Constructed Differently
I have a dataset of entries and a variable for the owner of the entry. Some of these people occur more than once. However, the names are sometimes written differently. I want to eventually be able to ...
2votes
0answers
556views
Estimate eps value in DBSCAN using KNN algorithm
I would like to estimate the best eps value for the DBSCAN algorithm on this dataset by following this set of rules: Set a minPts: 10 Compute the reachability distance of the 10-th nearest neighbour ...
