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Questions tagged [methods]

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16 views

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 ...
2
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1answer
73 views

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: ...
5
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1answer
2k views

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 ...
2
votes
2answers
95 views

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...
1
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2answers
97 views

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-...
0
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1answer
83 views

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 ...
2
votes
3answers
175 views

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 ...
2
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2answers
115 views

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 ...
3
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0answers
458 views

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 ...
3
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2answers
2k views

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} ...
2
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3answers
609 views

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....
1
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4answers
314 views

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 ...