Questions tagged [numerical]

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1 vote
19 views

Over-sampling when predicting a contionuous variable

Lets say i am predicting house selling prices (continuous) and therefore have multiple independent variables (numerical and categorical). Is it common practice to balance the dataset when the ...
• 11
34 views

Separating numerical and categorical features in a binary classification problem

I have a dataset with employee data with around 9500 rows, and have to predict if the target is 0 or 1. Some of my features are the department of an employee, gender, salary, review_score(numerical),...
• 101
1 vote
18 views

With a 5000x20 CSV as data input discover the most common occurrences of numbers in a row

As input I have a CSV with 5000 lines (and growing) and 20 fixed columns containing a number from 1-80. A row may look like this. Is it possible using Orange3 to analyze each row and find out what ...
• 11
54 views

Separate discrete and continuous variables

I know how to separate numerical and categorical data as follows: ...
• 1,231
657 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 ...
• 1,231
74 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 ...
160 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 ...
• 179
1 vote
24 views

partial numerical array - pattern matching

I have a linear numerical array source and I want to find/match test array as pattern : ...
• 111
59 views

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 ...
• 131
5k 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 ...
279 views

Cluster method with binary variable

I need to do a cluster analysis for the following variables: ...
• 1
1 vote
50 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 ...
• 561
1 vote
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
6k 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: ...
• 443
817 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 ...
• 103
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
139 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 ...
518 views

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 ...
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 '...
• 21
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 ...
• 17.4k
32k 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 ...
• 535
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 ? ...
• 386
8k 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 ...
• 233