All Questions
Tagged with algorithmsmachine-learning-model
11 questions
1vote
1answer
64views
How can I predict the best treatment to give to new patient?
As part of a school project, I have to analyze a dataset with patients (with characteristics: sex, age, smoker 0/1, etc.) who received different treatments (one per patient) with a response to this ...
- 11
2votes
3answers
220views
What is the most optimal machine learning model/algorithm to create a hangman solver?
Want to create a hangman solver, So what is the best ml algorithm (lstm,reinforcement learning, or etc) to use? Do suggest any other optimal technique if you know?
1vote
1answer
202views
How to predict what someone will order?
Suppose Prof. X goes to a road side tea-coffee shop everyday at 5pm just after his office. After reaching there he tosses a coin, and places his order tea or coffee. The shop owner Y has been ...
- 105
0votes
0answers
59views
Existence of a "three-point" machine learning model?
I may want to ask if there are studies that exist which utilize a "three-point machine learning model. What I mean by "three-point machine learning model is that it may use several ...
2votes
0answers
188views
calculate the VC-dimension [closed]
I have a question about VC-dimension. I have this claim and I need to find out what its VC-dimension is $ H\subseteq\{0,1\}^n $ collection of Boolean functions over n In my opinion the answer should ...
- 121
1vote
0answers
149views
Machine learning algorithms for suggesting new baby names [closed]
https://www.lexalytics.com/lexablog/machine-learning-natural-language-processing https://towardsdatascience.com/named-entity-recognition-ner-meeting-industrys-requirement-by-applying-state-of-the-art-...
0votes
1answer
178views
How to choose the best algorithm
this might be simple but I need to know how to choose a best algorithm based on a scenario. I have a dataset. The target class is, let's say color, this ...
1vote
0answers
28views
What approach should I take to model forecasting problem in machine learning?
I have a dataset which contains 4000k rows and 6 columns. The goal is to predict travel time demand of a taxi. I have read many articles regarding how to approach the problem. So, every writer tell ...
2votes
1answer
80views
Estimating location in a model
I have a big dataset with 10 columns and about a 100,000 rows. Each 5 rows represent a person being tracked and the data related to this tracking such as time, velocity, etc. the last two columns are ...
- 121
2votes
2answers
111views
Which machine learning algorithm to choose?
I want to choose an unsupervised algorithm which learns to predict $n$ outputs from the data, for eg. 4 coordinates (pixels) in an image. What algorithm should I choose? I think it's a 2-class ...
- 189
1vote
1answer
45views
Model selection for a "set of linear models"?
I would appreciate your input on which predictive ML model(s) could fit our dataset the best. The primary features of the dataset are x,y (continous) and c (factor with around L=500 unordered levels)....
