# Questions tagged [numerical]

The tag has no usage guidance.

19 questions
Filter by
Sorted by
Tagged with
19k 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 ...
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 ...
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 ? ...
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 ...
183 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 ...
30 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 ...
2k 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 ...
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 '...
95 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 ...
21 views

### partial numerical array - pattern matching

I have a linear numerical array source and I want to find/match test array as pattern : ...
32 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 ...
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, ...
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
127 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 ...
515 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 ...
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: ...
12 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 ...