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Questions tagged [sklearn-pandas]

Python module providing a bridge between Scikit-Learn’s Machine Learning methods and pandas-style DataFrames

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1336 questions
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How does test_size relate when used in python sklearn for a 10 fold cross validation

I am trying to implement a ML algorithm in which I would like to use a 10 fold cross validation process but I would just like to get confirmation if my procedure is correct. I am doing a binary classification and have about 50 samples of each class…
Joe
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Modifying a dataFrame in jupyter

i want to delete what after the : in this data (the password) and let just the emails [emails] https://i.stack.imgur.com/dX9RB.png
anass
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Best way to search for 3 comparisons in a Bank Note dataset

So, I need to create a classifier with 3 simple comparisons to detect a fake bill, based on something like this pseudocode: assume you are examining a bill with features f_1 ,f_2 ,f_3 and f_4 your rule may look like this : if ( f_1 > 4) and ( f_2 >…
Neonleon
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ValueError: Invalid parameter C for estimator LogisticRegressionCV

Can't seem to perform a gridsearch on a logistic regression using an l1 penalty. reg = LogisticRegressionCV(cv=5,random_state=42, solver='liblinear',penalty='l1') grid = {'C': [0.001, 0.01, 0.05, 0.1, 1, 10, 100]} grid_search = GridSearchCV(reg,…
Nick
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How to normalize only one column using sklearn.preprocessing's StandardScaler

if i have a list say l = [[1, 2], [1, 3], [4, 5], [5, 10]] how can i only normalize the column 2,3,5,10 using sklearn.preprocessing -> StandardScaler
alex ale
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How to plot a scatter plot to understand the general trend in data, when we have multiple features

Here, Features are X_train Target is y_train W​hen there is a dataset with 'n' number of features how will we select that one feature to make a scatter plot with the target variable to understand the general trend of the training data, to select a…
yuvraj singh
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How to output predicted values as a string in excel?

so I was able to output my predicted numerical values into an excel file but I was wondering if it is possible to instead of the numerical value, it actual exports the string instead. Currently it looks like this, Column 1 Answer…
user13572241
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In machine learning(Linear Regression), in the training/test process I got this Type Error. Can someone help me with that?

from sklearn.preprocessing import LabelEncoder, OneHotEncoder labelencoder = LabelEncoder() X[:, 3] = labelencoder.fit_transform(X[:, 3]) onehotencoder = OneHotEncoder(categorical_features = [3]) X =…
Joseph Nderph
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sklearn cross validation : The least populated class in y has only 1 members, which is less than n_splits=10

i'm working in a machine learning project and i'm stuck with this warning when i try to use cross validation to know how many neighbours do i need to achieve the best accuracy in knn; here's the warning: The least populated class in y has only 1…
B1N4RY B1RD
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KNeighborsClassifier from sklearn.neighbors import error

guys am having import error while trying to import KNeighborsClassifier from sklearn.neighbors import k its showing the following errors ImportError: cannot import name 'kNeighborsClassifier' from 'sklearn.neighbors'…
Abdulrahman Isah
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ModuleNotFoundError: No module named 'sklearn.ensemble.voting_classifier'

I am trying to load a pickle file using below code. # Load model from file classiferM1 = joblib.load("Model 1_ensemble.pkl") Now I am facing error ModuleNotFoundError: No module named 'sklearn.ensemble.voting_classifier' I understand that sklearn…
Surendra_Suri
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How to know which features contribute significantly in prediction models?

I am novice in DS/ML stuff. I am trying to solve Titanic case study in Kaggle, however my approach is not systematic till now. I have used correlation to find relationship between variables and have used KNN and Random Forest Classification, however…
hash_atifshk
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Python NameError: name 'ridge_regression_sklearn' is not defined

I am working on Cross validation for k-fold using ridge regression. I want to do y_pred using ridge_regression_sklearn and got the error message that 'ridge_regression_sklearn' is not defined. Some can please help me how to fix it. I didn't found…
Atif Saeed
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A function to insert data in dataset using python

I create a program that predict digits from in a dataset. I want when it predict data their should be two cases if it predict right then data should added automatically in dataset otherwise it takes right answer throw user and insert to…
Ajay Kumar Joshi
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How to convert images as input to a ML classifier?

I want to build a image classifier i gathered images from web and i resized them using PIL libray now i want those images to be converted as input .what operations do i need to perform on these images.I also did covert images in to numpy arrays…
sriram anush
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