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Permanent account number

Permanent account number PAN is a unique 10 digit alphanumeric. Will there be requirement in future to be changed to a 11 digit alphanumeric taking into consideration the growing population of India? ...
Prashant Akerkar's user avatar
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1 answer
24 views

Low Precision of LeakyReLU

Dear TensorFlow experts, I am trying to understand the following output of the TensorFlow LeakyReLU function, which seems to have very low precision: ...
Anna Christine's user avatar
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0 answers
15 views

Feature selection on datasets with both categorical and numerical features

I'm proposing a novel methodology for feature selection in the context of tabular datasets that contain both numerical and categorical features. In order to prove the efficacy of my methodology, I ...
Francesco De Santis's user avatar
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0 answers
13 views

Questions regarding backward propagation

I am reading article regarding backward propagation https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/ . Lets say if I follow the example in the article but using only 3 node, ...
CKT's user avatar
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1 answer
74 views

Likelihood function of a Beta-Normal distribution

I'm going over a paper regarding the calculation of credit scoring By Kalkbrener and Onwunta. In the article, they derive the following Likelihood function, in order to find the MLE for $R^2$: (...
Alex Teush's user avatar
1 vote
0 answers
20 views

Calculating an integral with as few grid points as possible

Suppose I have a function $f\colon [0,1] \to \mathbb{R}$ which is maybe continuous (it's at least in $L^1$). I have a sample of $N$ points $\{x_i\}$ taken from the domain $[0,1]$ randomly from some ...
math_guy's user avatar
  • 111
0 votes
1 answer
73 views

Converting categorical to the percentage

How do I convert the categorical value to the percentage?| I have this asset wellness data: Poor: 3 Warning: 27 Good: 120 How do I convert it to the percentage ...
Muhammad Ikhwan Perwira's user avatar
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0 answers
322 views

Binary transformer classification model predicts everything as same value

I'm training a binary classifier using a transformer on structured numerical data (so the order of the columns in my spreadsheet matters). I have adapted the keras text classification model for IMDb ...
mins134's user avatar
1 vote
0 answers
38 views

Why is Orange (CSV import or Line Series) doing some weird rounding on my data?

The data I have is in tab-separated format (exported from MetaTrader5): ...
Daniel Donnelly's user avatar
1 vote
0 answers
13 views

Dealing with little available data: transfer learning

Suppose I seek to predict a certain numerical value, whereby the data set which contains the predetermined correct labels is only very small. However, I'm also provided a large data set with a label ...
Richard's user avatar
  • 111
0 votes
1 answer
55 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 ...
Kev's user avatar
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1 answer
182 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),...
Bluetail's user avatar
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1 vote
0 answers
34 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 ...
Bill's user avatar
  • 11
2 votes
0 answers
1k views

Separate discrete and continuous variables

I know how to separate numerical and categorical data as follows: ...
spectre's user avatar
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0 votes
1 answer
8k 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 ...
spectre's user avatar
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0 votes
3 answers
276 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 ...
user avatar
0 votes
1 answer
308 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 ...
Ricky's user avatar
  • 189
1 vote
1 answer
28 views

partial numerical array - pattern matching

I have a linear numerical array source and I want to find/match test array as pattern : ...
Mironline's user avatar
  • 111
2 votes
1 answer
75 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 ...
BAC83's user avatar
  • 131
3 votes
3 answers
7k 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 ...
maltodextrin's user avatar
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0 answers
376 views

Cluster method with binary variable

I need to do a cluster analysis for the following variables: ...
Ann's user avatar
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2 votes
1 answer
83 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 ...
Victor's user avatar
  • 611
1 vote
0 answers
17 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
Ishrak Alaxander Hasin's user avatar
1 vote
1 answer
7k 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: ...
bacloud14's user avatar
  • 453
0 votes
1 answer
958 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 ...
mrc's user avatar
  • 103
2 votes
1 answer
12k 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, ...
Yellow whale's user avatar
1 vote
2 answers
209 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 ...
Learning is a mess's user avatar
-1 votes
1 answer
554 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 ...
George Pligoropoulos's user avatar
2 votes
0 answers
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 '...
Sergi F.'s user avatar
4 votes
1 answer
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 ...
Martin Thoma's user avatar
  • 18.9k
44 votes
6 answers
40k 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 ...
Funkwecker's user avatar
6 votes
1 answer
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 ? ...
patapouf_ai's user avatar
14 votes
3 answers
9k 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 ...
Poisson Fish's user avatar
3 votes
1 answer
206 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 ...
Laurent Duval's user avatar