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Advice
0 votes
4 replies
155 views

I am wrapping up my B.S. in cognitive science late this year. My professor had us create a stack overflow account in our data analysis and optimization course. I unfortunately never looked into it ...
Advice
1 vote
1 replies
100 views

Career change data science 40 Hello! I need according your experience I'm 40, career changer, based in Colombia. Which data science bootcamp is worth it? Any experience with 4Geeks or similar? Are ...
Score of 3
1 answer
144 views

I have a problem when running the saved model of a CNN. When I train the model and the input tensor size of the first linear layer is set to the shape for the training data after it is flattened and ...
Advice
0 votes
2 replies
145 views

I’m a beginner learning NumPy and Data Science. I understand basic operations such as array creation, indexing, slicing, and simple computations. However, when I try to follow tutorials that use NumPy ...
Advice
0 votes
1 replies
59 views

Ok so there's no easy way to title this to get the information I really want to get at. But I feel like the longer winded explanation is fairly simple. So I'm in a programming for data science class (...
Score of 2
1 answer
93 views

I'm just trying out/experimenting with sklearn. I'm using the California housing dataset, and I'm trying to make a pipeline to create some additional features, then take the logarithm of some features,...
Advice
0 votes
2 replies
70 views

I started training nemo's hybrid rnnt ctc cashe aware streaming large multilingual model with code-switching. i wanted to ask if total 1300 hours of dataset will be enough? and somehow I noticed that ...
Best practices
0 votes
0 replies
83 views

I am working to model financial data via neural networks and I am unsure of what the best practices are for PCA de-correlation. I will focus on two momentum indicators for this example, RSI and CCI. ...
Tooling
0 votes
0 replies
45 views

Up to this point, I have only used scikit-learn’s t-SNE algorithm. This approach takes a long time to produce good results for high-dimensional datasets with many samples. Should I consider using a ...
Advice
1 vote
3 replies
74 views

I have a project and I'm new with Data Science/ML/AI. Basically I have data set with list of issues and each issue there is a notes section where engineers talk to support and tell how do they solve ...
Score of 1
2 answers
182 views

The files are over 100gb and I want 1000 observations but not the first 1000, how can I make sure it's randomized before/while importing so that not all of it has to be loaded in? data <- lapply(...
Advice
0 votes
1 replies
55 views

I have sample dataset where prices are stable few days/week/months and then falls/raise and stays in that price again for few days/weeks/months. Basically it looks like step down and up when you ...
Advice
0 votes
0 replies
47 views

I am currently analyzing sentiment in Google Maps reviews about public parks in order to create a score for each park. I am using Word2Vec and logistic regression. The logistic regression model is not ...
Advice
1 vote
1 replies
191 views

Currently i am exploring about agentic ai and found some cool use-cases of it in real world and amazed to see how it's been continously growing over the market and automating simple process together ...
Advice
0 votes
1 replies
62 views

In my dataset, I noticed that the actual data type of a column differs from the expected data type.In this situation, should the data be type-cast during processing, or should such records be moved to ...

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