All Questions
Tagged with data-analysis regression
14 questions
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Intelligently Calculating Return on Ad Spend
Am looking for a way to project return on advertising spend (ROAS). Does not need to be a complex model (in fact would much prefer it if it isn't!).
We have all the data coming in through our SQL ...
1
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2
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74
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Looking for a couple of ideas please
I’ve got some data by postal zone that includes:
Postal zone code
Average rent value per square foot
Brand affinity 1
Brand affinity 2
Brand affinity 3
Brand affinity 4
…and so on
The brand affinity ...
- 11
0
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1
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463
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Regression with time series data
I want to predict temperature when time (datetime type, hourly data for five months) and humidity is given. Before starting in python, I created a regression model in excel. But instead of predicting ...
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1
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28
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Determine the effect on margins of a price increase
I hope you can help guide me in the right direction! Any advice is appreciated!
Situation
I'm currently analyzing the effect of a price increase from a retailer on a few 100 products. I'm interested ...
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1
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174
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Scaling and handling highly correlated features in tabular data for regression
I am working on a regression problem trying to predict a target variable with seven predictor variables. I have a tabular dataset of 1400 rows. Before delving into the machine learning to build a ...
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1
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62
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Hi, im currently working for a company that has some inventory control problems
First, I was asked by the manager to make a plot showing produced vs received items, its a multistage process so we are only in charge of one of the steps which is designing, I made the plot comparing ...
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2
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65
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Which features are important in determining fluency of participants measured by weighted composite score?
I'm starting to learn about data science. I have sample data including different features run over several people, for each person n times. these features represent the fluency of the participants in ...
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1
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37
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Regression analysis and least square method relation? [closed]
I want to know where Regression analysis is most used at, what's its competitor methods, and how least square method relates to regression analysis.
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2
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504
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How to work with Log-transformation?
I'm beginning my data science journey and I've faced a challenge that confuses me a bit.
I have a set with few features and a target variable whose raw distribution is highly skewed.
I've read that ...
4
votes
1
answer
63
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Spatially constrained geospatial similarity
What's the current methodology for clustering geospatial data by features?
Example: I have some demographic dataset. Let's say this contains average home price and population density.
So, an example ...
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1
answer
129
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how to know what my data are uninformative and that machine learning will not work with it?
following this question, I'm making a data analysis again because I tried to use machine learning algorithms like Random forest to predict a value from certain features but it didn't work for me. I ...
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3
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55
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How to treat column with potentially meaningful NaNs
My data set has a column that indicates the time taken (in days) for members on a site - each with an ID - to sign up for an event. This can range between 1 to 300 days, with about half of the rows ...
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2
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What kind of machine learning can predict a probability rather than classification?
For example, I want to predict a probability of whether raining tomorrow, and I can't get the prob. of cloudy or sunny...etc day.
I only get events(attributes of weather) like temperature, humidity, ...
- 163
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4
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74
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Matching new set of data with pre-defined sets
I have sets of data describing sets of levels of requirements needed for certain sets of tasks. The following is a tabulated example:
Note that the data values are on a scale from 0 to 10.
My ...
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