Python module providing a bridge between Scikit-Learn’s Machine Learning methods and pandas-style DataFrames
I was fitting a logistic regression with a subset dataset. After splitting the dataset and fitting the model, I got …
python numpy logistic-regression sklearn-pandasWhile using this as a model for spam classification, I'd like to add an additional feature of the Subject plus …
pandas scikit-learn sklearn-pandasI am trying to oneHotEncode the categorical variables of my Pandas dataframe, which includes both categorical and continues variables. I …
python scikit-learn pipeline sklearn-pandasI use sklearn to plot the feature importance for forests of trees. The dataframe is named 'heart'. Here the code …
python numpy matplotlib scikit-learn sklearn-pandasI have a training data CSV with three columns (two for data and a third for targets) and I successfully …
python machine-learning scikit-learn sklearn-pandas inverse-transformHere is a paste of the code: SVM sample code I checked out a couple of the other answers to …
python scikit-learn sklearn-pandasI was doing Multi-class Classification using Keras.It contained 5 classes of Output. I converted the single class vector to matrix …
python numpy scikit-learn keras sklearn-pandasI am working on a ML algorithm in which I tried to convert the continuous target values into small bins …
python-3.x numpy machine-learning scikit-learn sklearn-pandasI m trying to use the decision tree classified to identify two classes (renamed 0 and 1) based on certain parameters. I …
python decision-tree roc sklearn-pandasMy data is like this: [First row is headers] Name,Email,Age Sachith,[email protected],23 Sim,[email protected],234 …
python pandas sklearn-pandas