Questions tagged [numerical]
The numerical tag has no usage guidance.
21
questions
0
votes
1answer
91 views
Separate numerical and categorical variables
I have a dataset (42000, 10) which contains 7 categorical features and 3 numerical. I would like to separate both the numerical and categorical features into 2 different data frames i.e I would like 2 ...
0
votes
3answers
53 views
Transforming Categorical to Numerical variable
I have a categorical variable with 4 levels ('8 c', '6 c','NAN','Others') and I want to convert it to numerical form. an Obvious way is to simply remove the 'c' part from the first two categories and ...
0
votes
0answers
16 views
Which are the features selection techniques depending on the combination on cat num columns in independent and dependent features?
I am very confused:
For what I understood I should:
Multicollinearity check with Pearson corr and possibly consider to drop multicolliner features
Then?
I am very confused feature selection should be ...
0
votes
1answer
84 views
Problem with binning
I am trying to change continuous data points to categorical by using binning. I know two techniques, i) equal width bins ii) bins with equal number of elements.
My questions are:
Which type of ...
1
vote
1answer
22 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
56 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 ...
3
votes
3answers
4k 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
249 views
Cluster method with binary variable
I need to do a cluster analysis for the following variables:
...
1
vote
1answer
40 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
1
vote
1answer
5k 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
739 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 ...
2
votes
1answer
11k 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
121 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
511 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 ...
39
votes
6answers
28k 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 ...
5
votes
1answer
2k 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 ?
...
13
votes
3answers
7k 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
187 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 ...
