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Use for data science questions related to the programming language Python. Not intended for general coding questions (which should be asked on Stack Overflow).

1 vote

How to compute the prediction interval for unseen data?

What you are referring to is a problem of estimation regression model uncertainty. The uncertainty estimation method depends on the model that you are using. Take a look at this tutorial, it provide …
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1 vote

Outlier Detection using K-Means using one column

If you have a one dim data, why do you need to use K-means? In such a case, to detect the outlier I would recommend creating a simple histogram and then based on its shape you can visually find the o …
user1877600's user avatar
6 votes
0 answers
12k views

Tuning Gradient Boosted Classifier's hyperparametrs and balancing it

Let's look at python code the code: train_gs_X, test_gs_X, train_gs_Y, test_gs_Y = train_test_split(new_features, target, random_state=42,train_size=0.1 ) gb_grid_params = {'learning_rate': [0.1, 0.05 …
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0 votes

Predictive Model with sort-of-non-binary labels

I suggest use python pandas library and then you need to label your data. It's mean you need to assign class (Whether the company participated or not) to your data. …
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