I have a dataframe like this, df col1 col2 1 'abc,pqr' 2 'ghv' 3 'mrr, jig' Now I want to create a new line for each comma separated values in col2, so the output would look ...

I am currently utilizing the XGBoost classifier within a pipeline that includes normalization and the XGBoost model itself. The model has been successfully developed in the Notebook environment. The ...

Here is the full error: `--------------------------------------------------------------------------- ValueError Traceback (most recent call last) Cell In[33], line 2 ...

I am using sklearn-pandas.DataFrameMapper to preprocess my data. I don't want to impute for a specific column. I just want to drop the row if this column is Null. Is there a way to do that?

I have fitted a ElasticNetCV in Python with three splits: import numpy as np from sklearn.linear_model import LinearRegression #Sample data: num_samples = 100 # Number of samples num_features = 1000 ...

I am trying to train KMeans model using Scikit-Learn. I am stuck on this issue for 2 days. Pandas is selecting all columns of a dataframe even though I specified 2 columns. Here is the dataframe in ...

so since KNeighborsClassifier class in sklearn find the best algorithm depending on the values from fit method when using auto (which is the default), when accessing the algorithm using ._fit_method I ...

I receive a correlation file from an external source. It is a fairly straightforward file and looks like the following. A sample csv can be found here https://www.dropbox.com/scl/fi/...

I created a set of random missing values to practice with a tree imputer. However, I'm stuck on how to overwrite the missing values into the my dataframe. My missing values look like this: from ...

when calculating classes_weight with from sklearn.utils import class_weight class_weights = class_weight.compute_class_weight(class_weight="balanced", classes=np.unique(...

model.fit(x_train, y_train, epochs=1000) i'm trying to make a ai but mine code gives a error and i don't how to fix it? this is the error ValueError: Data cardinality is ambiguous: x sizes: 455 y ...

I am running mlflow with autologging to track an xgboost model. By default, under artifacts it saves the model, requirements, and feature importances. Cool stuff I want to keep. But, if I try to add ...

I Have Sample House Price Data And Simple Code : import pandas as pd from sklearn.preprocessing import LabelEncoder, StandardScaler from sklearn.model_selection import train_test_split from sklearn....

I want to use multiple PMMLs to keep the transformation of the data and the application of the model separate. Here is the code I am using. I am doing this because I want to include some kind of ...

I want to find the immediate neighbours around a given point in a multidimensional space (up to 7 dimensions). Important facts about the space: non-linear spacing among points within a single ...