All Questions
Tagged with machine-learning data-science-model
344
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What is appropriate Individual KPI for AI projects?
I work in the sales department of electronics component manufacturing company and we do data science projects using traditional algorithm like Random forests (success likelihood of design project), ...
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What programming language is better for data science?
I'm a student who is currently learning Python and Java. I'm very interested to learn about data science and machine learning as well as deep learning.
Which of Java and Python is more useful for me?
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Seeking Feedback on Data Science Portfolio
I hope you're doing well. I've recently started building my data science portfolio on GitHub with the goal of securing a role as a data scientist. I would greatly appreciate your feedback to help me ...
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can we build sequential model?
Like is it possible to train a model on X1_i Inputs Y1_i Output and then the second one is running on X1_i + Y1_i to give output Y2_i ??
Context : (I am just getting my hand into ML and trying to ...
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Linear Discriminant Analysis (LDA) determining the class for test data after transforming with eigenvectors
Suppose we are given two classes class-1 and class-2 and the mean of the two classes are $μ_1$ and $μ_2$ respectively before projection. Both of their variance-covariance matrix is also provided ...
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ML for lot sizing task
I am solving the problem of automatic lot sizing, which consist of different products. I receive data about a certain product and I have to decide which products to combine into lots. And then ...
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Feature Engineering a Recency feature
I have a customer scoring problem I'm working on specifically on predicting conversion and coming up with a probability score on conversion (using xgboost classifier atm). There's a feature I want to ...
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How to measure different models' feature importance using a generic and common standard?
I want to measure the feature importance of a series of models after training them. Most models have some built-in APIs that allow me to access their feature importance, but as far as I know, these ...
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I need suggestion for a project
I want to make a forecasting system which will forecast how much quantity will be sold next year based on the previous 5 years' data from 2019 to 2023 and want to predict for future years. Now the ...
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Question regarding model inference consistency
I am doing some research on gaze estimation model L2CS provided in here.
When you look at the inference predictions on provided image, when face/eye direction barely changes, inference predictions ...
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How can a citation dataset (like Cora) have strongly connected components?
This website https://snap.stanford.edu/data/cit-HepPh.html shows that the High-energy physics citation network has strongly connected components and it's driving me crazy.
A SCC would mean that you ...
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Need inputs on logging Machine Learning models and their versions in logs for my application
So i have a web application that recommends movies based on the subject and question that the user puts in , it also uses NLP and ML models like Named Entity Recognition(NER) model to extract keywords ...
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Calculation of Covariance Matrices for a QDA classifier in Python Numpy
For a school project, I have to design a QDA classifier for 28x28 pixel images of letters in sign language. I have been given 27455 images for training, which have to be flattened to a 784 pixel ...
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Does hours spent training early in an Associates career impact the amount of revenue they generate in the future?
I can use some help with project design and choosing the correct method to answer this question.
I have a dataset that contains associate ID, associate specialization, hours worked, revenue, period, ...
