Questions tagged [data]

Questions mostly concerned with managing data, without focus on pre-processing or modelling.

200 questions with no upvoted or accepted answers
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3
votes
1answer
42 views

How to build a unbiased predictive ML model when the record of the event is less compared to the total number of records?

I am trying to build a model that will predict the communication loss of a wireless device. For now I am using RandomForestClassifier along with Device and Location as the features. I am getting both ...
3
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1answer
32 views

How do I best visualize this voltage data for a science project

I'm helping my son with his 7th grade science project. We've had a good deal of fun with our experiments with Solar Arrays and charging 12 volt UPS batteries! But, I am not sure how to interpret the ...
3
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1answer
84 views

How to reduce position changes after dimensionality reduction?

Disclaimer: I'm a machine learning beginner. I'm working on visualizing high dimensional data (text as tdidf vectors) into the 2D-space. My goal is to label/modify those data points and recomputing ...
3
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0answers
488 views

Central Probability Interval

So, I'm having problems learning for a data analysis lecture. The topic is the construction of the "central interval" as our lecturer calls it. The concept shall path the way to understand confidence &...
3
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2answers
970 views

Weighted k nearest neighbor search

I've searched quite a bit and haven't landed on any useful results. The problem statement is: Given a set of vectors, I wish to find its approximate k-nearest neighbors. The caveat here is that each ...
2
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2answers
44 views

Is it possible to detect drift with real time predictions?

I have been reading up on detecting data drift and concept drift, I have found this library but it seems all the methods here detect concept drift and take input as if the prediction was correct or ...
2
votes
1answer
54 views

Do i need to handle missing values before EDA?

I am working on a data set and there is an interesting column with missing values, but I don't want to discard the rows (so as not to lose data from other columns) or do imputation (so as not to ...
2
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0answers
27 views

What is the difference between Pachyderm and Git?

I learned that tools like Pachyderm version-control data, but I cannot see any difference between that tool with Git. I learned from this post that: It holds all your data in a central accessible ...
2
votes
1answer
17 views

Suggestions for improvement? Time series of variation in relative frequency of emotion-related words in academic psychology over time

First time plotting and interpreting time series data and I have used a line plot for ease of use. I am aware this is incredibly basic, but any input/ recommendations would be much appreciated (e.g., ...
2
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0answers
31 views

How to improve model performace when model shows a systemic pattern in residues

I'm working on a regression model using Boosting algorithms (CatBoost, XGBoost, and LightGBM). All models give similar accuracy of 0.2 RMSE (Target varies from 0 to 1). I obtained the following plots ...
2
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2answers
39 views

Log analysis dataset with labeled cybersecurity issues

I am seeking to find a dataset with log files that have labeled cybersecurity issues. As I am trying to build a cybersecurity log analysis model there is no preference on the type of the log, but ...
2
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1answer
33 views

Column vector for training example

I have a question about the training example for machine learning. I know most people make training examples to a column vector. However, most of the time when we get a training example, like from a ...
2
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0answers
32 views

Association Rules

I'm using association rules for a project and noticed that there is a dearth of papers in the last 10-15 years on the topic although it seemed really popular 15-25 years ago. Is there any reason why?
2
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0answers
46 views

Regression dataset with categorical features

I have thought of a regression technique that I want to try on several datasets. I would like these datasets to have the following properties: Be a tabular dataset (no images). Have at least 20k rows,...
2
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0answers
87 views

PointCloud value prediction - regression

I have point clouds for 400 objects. I have also some other features of these objects. For example their weights. How I can now train model to predict the weight based on the shape(point cloud)? I ...
2
votes
1answer
181 views

should I shift a dataset to use it for Time series regression with RNN/LSTM?

I'm seeing this tutorial to know how to use LSTM to predict time series data and I noticed that he shifted the target/labels up so that the features are all in time t but the target is t+1 so my ...
2
votes
1answer
73 views

Extract data from PDFs

I would like to do an experiment. I would like to get the following data: advisor education rank (Ing., Bc. etc), number of pages in the thesis, number of citations etc for each student about thesis ...
2
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1answer
47 views

Python is reading my data with NANS and Infs, but they don't have any

I'm having an issue in Python where it says that the dataframe I have loaded through pandas.read_csv() cannot be scaled using ...
2
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1answer
91 views

What should I do with the NaN values on this stock quote data?

I concatenated 3 stock quote data-frames all with date-time indexes. However, they differ in starting dates so the resulting data-frame contains NaN values for the stock quotes with more recent ...
2
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0answers
78 views

Organizing complex analysis project

Does anyone have any experience organizing large data analysis projects? It seems that the majority of project organization tools for data science (DVC, datmo, mlflow, etc) assume a very model-centric ...
2
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0answers
66 views

Is data science only for substantive specialist?

Right now there is a lot of hype for data science. Everyone is learning it. There are lots of courses and boot camps being offered. Unlike software engineering, however, are data scientists required ...
2
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1answer
991 views

How to extract the sample split (values) of decision tree leaves ( terminal nodes) applying h2o library

Sorry for a long story, but it is a long story. :) I am using h2o library for python to build a decision tree and to extract a decision rules out of it. I use some data for training where labels get ...
2
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0answers
58 views

Anomaly Detection: Model Creation & Implementation

I'm trying to determine the best approach to an anomaly detection problem. Particularly around setting up the data, building the models, and leveraging the models to identify important information. ...
2
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1answer
57 views

Balance data using different criteria

I have a dataset of audio and text files that I want to balance using different criteria to train a neural network. The text and matching audio file are grouped under one ID. For each ID, I have a ...
2
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0answers
37 views

Please help to identify if there is meaning of linear variables separation by features in phase space?

Description: I have clustering problem with next input: I have truth dataset containing labels for each row of features. I've found that some features can be modified to some phase space, where they ...
2
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0answers
279 views

Spatial Transformer Networks and Data Augmentation

We are all familiar with the famous Deep Mind paper STN. Upon implementation, such as here, did anyone still use input data augementation such as affine transformations? There are used to make CNN ...
2
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0answers
395 views

Histogram alternatives for two sets of data combined

It's my first question here and I hope it's not too simple for a data science question. I'm looking for a clear and less typical way to visualize my data. I have two data sets here - first one ...
2
votes
1answer
165 views

Ideal difference in the training accuracy and testing accuracy

In a data classification problem (with supervised learning), what should be the ideal difference in the training set accuracy and testing set accuracy? What should be the ideal range? Is a difference ...
2
votes
2answers
170 views

How to quantitatively compare two or more complex data sets

I have a series of datasets that are composed of 100 or so variables and a corresponding response variable. I am often faced with the question of trying to attribute differences in the response ...
2
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0answers
255 views

How can I find company descriptions for a long list of companies?

I'm going to train an ml algorithm to qualify potential sales leads based upon company descriptions. To do this, I need to find the company descriptions programatically. E.g. given a long list of ...
2
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0answers
68 views

Core components of data literacy for working professionals

I am a social scientist invited to give a 90-minute seminar on data literacy for working professionals in the U.S. government. I've struggled to develop a concise definition of data literacy, but ...
2
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0answers
53 views

Free/open interactive softwares/plugins for end-users' high-dimensional data visualization

Aside from questions about How to visualize data of a multidimensional dataset (TIMIT), the Purpose of visualizing high dimensional data? and High-dimensional data: What are useful techniques to know?,...
2
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0answers
64 views

Tag categorizer

I'm using Google prediction API and I need to perform tag categorization for free text. So when I receive a text like "Cant update application" is tagged with #Apps #General #CantUpdate. My ...
2
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0answers
52 views

How to select a bunch of optimized data from a larger data set?

How to select a bunch of optimized data from a larger data set? I have a data set containing the products to be sold to the customers. And the products were sold before, it has some information, like ...
2
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0answers
57 views

What proxies could be used to assess economic value of Stackoverflow for its users?

I'm intrigued by the open data provided by StackExchange, and have been running some really interesting queries on the data.stackexchange.com page (using the Stackoverflow dataset). In particular, I ...
2
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2answers
52 views

How to make a dataframe with lists or vectors as its elements

This is something I have been wondering for ages but I am never able to get an answer. I am trying to understand how to make a dataframe in R, where each element of the dataframe is itself a vector ...
2
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3answers
168 views

What best/correct algorithm/procedure to cluster a dataset with a lot 0's?

I'm new to statistics so sorry any major lack of knowledge in the topic, just doing a project for graduation. I'm trying to cluster a Health dataset containing Diseases(3456) and Symptoms(25) ...
1
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0answers
17 views

MCMC algorithm — understanding some paremeters

I am trying to understand an MCMC program. I manage to run it, but I am trying to understand the meaning of the some parameters in the analysis. The code is something like this ...
1
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0answers
40 views

why do we need re-scaling ? Is it necessary for all types of data including interval and frequencies

Re-scaling seems to have become a fashionable technique. The methods have propped up to deal with several types of data. Moreover,it is applied without much of context. Should we use it for only ...
1
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0answers
9 views

Is there enough datapoints to make a reasonable predcitction?

I am planning to use this dataset (for a school project) in order to determine the most important features in predicting whether a student will receive a placement. Further I would like to create a ...
1
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3answers
22 views

Deep Learning model for classifying skin diseases

I have planned to create a deep learning model that classifies skin diseases(around 5 to 7 diseases). Please suggest me a good deep learning model to go with. I am planning to integrate this model as ...
1
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0answers
36 views

Generating synthetic data based off existing real data (in Python)

I am looking for an approach to generate synthetic data for anomaly detection. We have real data, but want to inject anomalies to battle-test the model (the real data is too limited for likely future ...
1
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0answers
13 views

How to use time-sequence data with “meta data” of single value per sample?

I'm, trying to estimate a fish weight by a time-sequence signal of the change in resistance when the fish goes through a gate with electrodes installed. When the fish pass through the gate there's a ...
1
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0answers
20 views

Recommendation Systems User Profile Streaming Data on GCP

I have a recommendation system that recommends articles to different users. I am planning to provide the recommendations in an off-line fashion. Where I already have a table in BigQuery which has the ...
1
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0answers
16 views

Triplet optimization producing a weird diagonal line?

I'm pretty sure this is the right forum for this, or let me know otherwise, I'll happily move this to a better place. I have a strange problem. I've written an algorithm designed to take three files ...
1
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0answers
27 views

Generating artificial data to extend learning set

I have dataset containing 42 instances(X) and one final Y on which i want to perform LASSO regression.All are continuous and numerical. As the sample size small, I wish to extend it. I am kind of ...
1
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0answers
24 views

Show overall average on plots of single data

I have data from a survey from multiple locations (1 data set per location per year, each containing about 20-25 numerical scores from 0 to 5). This data is aggregated over topics (e.g. first 5 ...
1
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0answers
137 views

How do I efficiently load data from disk during training of deep learning models in pytorch?

I'm trying to train a deep learning model without loading the entire dataset into memory. My main question is, what's the best way of doing this? It seems like HDF5 is a common method that people ...
1
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0answers
19 views

Normalization around the nominal value while avoiding to get too big results

Lets say we measured a signal N times. Each measurement contains T time instance. For example for N=4 measurements and T=5 time instances the data matrix is as follows: ...
1
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2answers
31 views

Tools for nutritional value tracking and visualization

I want to track the nutritional value of different flours over time. What I got so far is a data table like this: ...