scikit-learn is a machine-learning library for Python that provides simple and efficient tools for data analysis and data mining, with a focus on machine learning.
There are several posts about how to encode categorical data to Sklearn Decision trees, but from Sklearn documentation, we got …
python scikit-learn decision-treePer the scikit-learn user guide, I installed scikit-learn using pip install -U scikit-learn. So using pip search scikit-learn, I get …
python scikit-learn scikitsI am attempting to use XGBoosts classifier to classify some binary data. When I do the simplest thing and just …
python scikit-learn classification analytics xgboostI've got pandas data with some columns of text type. There are some NaN values along with these text columns. …
python pandas scikit-learn imputationI try to run following code. Btw, I am new to both python and sklearn. import pandas as pd import …
python pandas numpy scikit-learn logistic-regressionI have a binary prediction model trained by logistic regression algorithm. I want know which features(predictors) are more important …
python machine-learning scikit-learn logistic-regressionReading implementation of scikit-learn in tensroflow : http://learningtensorflow.com/lesson6/ and scikit-learn : http://scikit-learn.org/stable/modules/generated/sklearn.cluster.…
python tensorflow scikit-learn k-means neuraxleI attempt to solve this problem 6 in this notebook. The question is to train a simple model on this data …
python scikit-learn logistic-regressionI'm working on a classification problem with unbalanced classes (5% 1's). I want to predict the class, not the probability. In …
python machine-learning classification scikit-learnI am building a multiclass model with Keras. model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy']) model.fit(X_…
python keras scikit-learn multiclass-classification