Questions tagged [methods]
The methods tag has no usage guidance.
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Can one have good understanding on a method without having direct experience with it?
This question is in line of these previous questions on other sites:
Is it possible to conduct scientific research without actually getting close to the sample/specimen? in Biology SE
Is it possible ...
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Combination of groupby and mean methods
I am looking at the below csv file :
We have the question :
Display the mean of the variable gre by group of admitted/not admitted students, using the combination of groupby and mean methods.
I would ...
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How can I learn and apply the scientific method in machine learning?
Rigor Theory. I wish to learn the scientific method and how to apply it in machine learning. Specifically, how to verify that a model captured the pattern in data; how to rigorously reach conclusions ...
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Does the Data Science process (CRISP ) comply with the Agile methodology?
A common method for conduction data science projects is CRISP - https://www.datascience-pm.com/crisp-dm-2/.
However in job descriptions they are often combine data science with agile methods, mostly ...
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Good classifiers when having many labels
I am asking myself, if there is another good method than deep artificial neural networks when trying to classify data with many (>100) labels. Are there any suggestions?
For example, logistic ...
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Modeling count data with time-dependent rate
For processes of discrete events occurring in continuous time with time-independent rate, we can use count models like Poisson or Negative Binomial. For discrete events that can occur once per sample ...
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Predicting High-School test scores after a disciplinary action
I'm somewhat new to machine learning and have learned to apply many of the basic regression and classification methods using python and various packages. However, approaching this problem has me ...
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Previous work Replication and Research ethics Ask Question
I am very much concerned about biding by research ethics in my work, especially issues to do with plagiarism. I come across a recent research paper in my field of study that applies state-of-the-art ...
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How is DS used in the case of Payment Gateways?
I know it's a general question but what type of analytics can be done in this case?
How can we apply machine learning models here?
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Interpreting DataFrame.where() documentation
From examples outside of the documentation, I thought I understood the examples of the .where() method. Basically, it seems to be a another way to filter a dataframe.
However, when I checked the ...
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drop columns and rows in one line in pandas
I want to drop a range of rows and columns of a dataframe, I did it as follow:
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What do "compile", "fit", and "predict" do in Keras sequential models?
I am a little confused between these two parts of Keras sequential models functions. May someone explains what is exactly the job of each one? I mean ...
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Time-series decomposition to a base level and an effect of another feature
I've got a time-series data (let's denote it as y) and some feature (let's denote it as x). y...
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Can you provide examples of business application of vector autoregressive model?
Vector Autoregressive models are exploited at Economics faculties all around the world. They are just another statistical model that solves problem of forecasting, although in a deeply complexity-...
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Standard method to integrate tools coded in multiple languages in an analysis workflow
I am trying to stitch together multiple packages and tools from multiple languages (R, python, C etc.) in a single analysis workflow.
Is there any standard way to do it? Preferably (but not ...
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What are some method for pre-processing data in OCR?
I have a dataset for a supervised learning task.
Each row is a vector with a value of pixmap value in a range [0,255] of gray colormap, each vector is labeled with a character. I have to assign each ...
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How do you define the steps to explore the data? [closed]
I'm falling in love with data science and I'm spending a lot of time studying it. It seems that a common data science workflow is:
Frame the problem
Collect the data
Clean the data
Work on the data
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What is behind "A. Grothendieck scheme theory" in Mondobrain?
Mondobrain proposes a "big data" technology with:
a new generation of algorithms based on A. Grothendieck scheme theory
(Field Medal) that extract knowledge and rules from data without any
...
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Perform classification on market basket analysis
I have the following problem that I don't know how to solve:
I have the data for different market baskets with a corresponding class. So for example I know:
Student - {beer, milk, water}
...
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Data Science Methodologies
What are the best known Data Science Methodologies today? By methodology I mean a step-by-step phased process that can be used for framing guidance, although I will be grateful for something close too....
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Can distribution values of a target variable be used as features in cross-validation?
I came across an SVM predictive model where the author used the probabilistic distribution value of the target variable as a feature in the feature set. For example:
The author built a model for each ...
