Questions tagged [numerical]
The numerical tag has no usage guidance.
19
questions
0
votes
0answers
10 views
Is there a way we can narrow down the best range describing a dataset (other than IQR and Min-max)?
I have a dataset of the prices of products for different categories. I want to get the best range which can describe the prices of that category using the Product Data. I have already applied IQR and ...
1
vote
1answer
21 views
partial numerical array - pattern matching
I have a linear numerical array source and I want to find/match test array as pattern :
...
2
votes
1answer
28 views
5 digit number mis-reads analysis
Nothing to do with number recognition in the classical 'hand-written' sense
Disclaimer above to avoid this being counted as a repeat.
I have a selection of 96 serial numbers, and a separate ...
2
votes
3answers
1k views
Purpose of converting continuous data to categorical data
I was reading through a notebook tutorial working with the Titanic dataset, linked here, and noticed that they highly favored ordinal data to continuous data.
For example, they converted both the Age ...
0
votes
0answers
84 views
Cluster method with binary variable
I need to do a cluster analysis for the following variables:
...
1
vote
1answer
31 views
What is the intuition behind using Monte Carlo to solve a differential equation
Conceptually, I understand how a numerical method like Monte Carlo is used to solve a definite integral. Because integral of a function is the area bounded by the curve, the ratio of random points ...
1
vote
0answers
16 views
How to do non arithmetic operation in python 3 [closed]
lets say a=3 b=4 and c is an unknown constant.
a=3
b=4
F=0
F=a*b*c
print(F)
Its an error. I want 12*c or 12c
0
votes
1answer
3k views
MinMaxScaler returned values greater than one
Basically I was looking for a normalization function part of sklearn, which is useful later for logistic regression.
Since I have negative values, I chose MinMaxScaler with: ...
0
votes
1answer
472 views
Convert nominal to numeric variables?
I am trying to develeop an algorithm with sklearn and Tensorflow to predict which car can be offer to each customer.
To do that I have a database with the answers of one survey to 1000 customers.
An ...
1
vote
1answer
8k views
Replacing words by numbers in multiple columns of a data frame in R
I want to replace the values in a data set (sample in the picture) using numbers instead of words, e.g., 1 instead of D, ...
1
vote
2answers
93 views
Homemade deep learning library: numerical issue with relu activation
For the sake of learning the finer details of a deep learning neural network, I have coded my own library with everything (optimizer, layers, activations, cost function) homemade.
It seems to work ...
-1
votes
1answer
447 views
What are the advantages or disadvantages of Owl?
Owl is the numerical library for OCaml: https://github.com/ryanrhymes/owl
It is supposed to be an equivalent of numpy and also have capabilities of tensorflow.
Any insights on why it should be used ...
2
votes
0answers
1k views
How to choose the optimal k in k-protoypes?
To analyze a dataset from banking I have both numerical and categorical values. I transform them to analyze with k-prototypes.
The original dataset:
The modified dataset:
E.g.: Job (for 1 to 12 '...
4
votes
1answer
1k views
Do numerical inaccuracies play any role in training neural networks?
Are there publications which mention numerical problems in neural network optimization?
(Blog posts, articles, workshop notes, lecture notes, books - anything?)
Background of the question
I've ...
28
votes
6answers
17k views
Encoding features like month and hour as categorial or numeric?
Is it better to encode features like month and hour as factor or numeric in a machine learning model?
On the one hand, I feel numeric encoding might be reasonable, because time is a forward ...
3
votes
1answer
1k views
How to estimate the mutual information numerically?
Suppose I have a sample {$z_i$}$_{i\in[0,N]}$ = {($x_i,y_i$)}$_{i\in[0,N]}$ which commes from a probability distribution $p_z(z)$. How can I use it to estimate the mutual information between X and Y ?
...
1
vote
0answers
124 views
Association Categorical Variables
We Perform data Analysis and build Models say for example I have builted Linear Regression Model having More than one Predictor ( Multiple Regression). We check
so many things Normality ...
12
votes
3answers
6k views
How can I dynamically distinguish between categorical data and numerical data?
I know someone who is working on a project that involves ingesting files of data without regard to the columns or data types. The task is to take a file with any number of columns and various data ...
3
votes
1answer
182 views
Steps in exploratory methods for mild-sized data with mixed categorical and numerical values?
Experienced in signal/image analysis, and new to data science, I recently was challenged with a relatively simple dataset: 100 to 200 items, about 10-20 numerical variables (in the [0-1] or percentage ...
