User spectre

8 votes

Further Training a pre-trained LLM

answered Jun 12, 2023 at 12:32

5 votes

Best platform to work with when having millions of rows in dataframe

answered Oct 11, 2021 at 14:38

4 votes

Accepted

Does One-Hot encoding increase the dimensionality and sparsity of dataset?

answered Oct 5, 2021 at 10:38

4 votes

How to determine if my data split is appropriate for my data size?

answered Dec 5, 2021 at 13:01

4 votes

Modeling uncertainty from known physics

answered May 25, 2023 at 10:57

3 votes

Accepted

Some simple questions about confusion matrix and metrics in general

answered May 27, 2023 at 4:11

3 votes

Accepted

Beginning my data science journey

answered Dec 21, 2021 at 7:26

3 votes

Accepted

Categorical to One hot encoding - Big data

answered Dec 31, 2021 at 8:10

3 votes

Can data leakage be sometimes acceptable?

answered Jul 19, 2021 at 11:50

3 votes

Creating & handling large matrices in python?

answered Sep 22, 2021 at 9:54

2 votes

calibrated classifier ValueError: could not convert string to float

answered Sep 23, 2021 at 6:04

2 votes

Accepted

Which major should I choose to become a Data Analyst?

answered Sep 12, 2021 at 14:31

2 votes

Which algorithm works well for forecasting sales prediction and the reason to choose particular algorithm?

answered Sep 25, 2021 at 7:42

2 votes

Machine Learning A-Z: Help connecting with datasets

answered Aug 6, 2021 at 18:15

2 votes

Accepted

Do I have to remove features with pairwise correlation even if I am doing a regularized logistic regression?

answered Oct 21, 2021 at 8:51

2 votes

Accepted

Drop or impute the missing values?

answered Nov 27, 2021 at 15:13

2 votes

Dealing with unbalanced training set compared with real world data

answered Oct 8, 2021 at 11:59

2 votes

Where can I find study materials?

answered Sep 30, 2021 at 11:50

2 votes

Removing illogical observations, can I do it?

answered Oct 6, 2021 at 11:53

2 votes

Accepted

Would time series input work in multiple polynomial regression model?

answered May 11, 2023 at 16:03

2 votes

Accepted

can training for too long lead to overfitting? I am not sure about the specifics of this

answered May 13, 2023 at 11:45

2 votes

Test / Train split - is it always necessary (supervised learning)?

answered Dec 15, 2021 at 13:07

2 votes

Accepted

extracting data from unstructured pdfs

answered Jul 10, 2023 at 4:56

2 votes

Accepted

How many features is too many when using feature selection methods?

answered Jul 10, 2023 at 5:08

2 votes

Accepted

Can I run falcon-7b on a free google colab?

answered Jul 13, 2023 at 4:52

2 votes

Do we really need a very large dataset to train GPTs?

answered Dec 13, 2023 at 7:48

2 votes

Using LLM in low memory (CPU) local environnements

answered Jan 2, 2024 at 6:25

2 votes

Encode 10k features where each feature is having more than 500 categories

answered Jan 3, 2024 at 5:16

1 vote

Extracting structure and content from invoices

answered Dec 19, 2023 at 8:37

1 vote

Handling categorical variables for Xgboost?

answered Dec 28, 2023 at 13:48

Stack Exchange Network

144 Answers

Further Training a pre-trained LLM

Best platform to work with when having millions of rows in dataframe

Does One-Hot encoding increase the dimensionality and sparsity of dataset?

How to determine if my data split is appropriate for my data size?

Modeling uncertainty from known physics

Some simple questions about confusion matrix and metrics in general

Beginning my data science journey

Categorical to One hot encoding - Big data

Can data leakage be sometimes acceptable?

Creating & handling large matrices in python?

calibrated classifier ValueError: could not convert string to float

Which major should I choose to become a Data Analyst?

Which algorithm works well for forecasting sales prediction and the reason to choose particular algorithm?

Machine Learning A-Z: Help connecting with datasets

Do I have to remove features with pairwise correlation even if I am doing a regularized logistic regression?

Drop or impute the missing values?

Dealing with unbalanced training set compared with real world data

Where can I find study materials?

Removing illogical observations, can I do it?

Would time series input work in multiple polynomial regression model?

can training for too long lead to overfitting? I am not sure about the specifics of this

Test / Train split - is it always necessary (supervised learning)?

extracting data from unstructured pdfs

How many features is too many when using feature selection methods?

Can I run falcon-7b on a free google colab?

Do we really need a very large dataset to train GPTs?

Using LLM in low memory (CPU) local environnements

Encode 10k features where each feature is having more than 500 categories

Extracting structure and content from invoices

Handling categorical variables for Xgboost?