Regression analysis is a collection of statistical techniques for modeling and predicting one or multiple variables based on other data.
I am using LogisticRegression from the sklearn package, and have a quick question about classification. I built a ROC curve …
python scikit-learn classification regressionI have trained an XGBoostRegressor model. When I have to use this trained model for predicting for a new input, …
python pandas machine-learning regression xgboostam trying to run logit regression for german credit data (www4.stat.ncsu.edu/~boos/var.select/german.credit.html). …
python-2.7 regression statsmodelsI don't quite understand what the p-value in this output means. I don't mean p-values as such, but in this …
r regression linear-regression anovaI have two arrays of data as hight and weight: import numpy as np, matplotlib.pyplot as plt heights = np.…
numpy matplotlib scipy regression seabornWhen doing regression or classification, what is the correct (or better) way to preprocess the data? Normalize the data -&…
machine-learning normalization classification regression pcaWhile using statsmodels, I am getting this weird error: ValueError: endog must be in the unit interval. Can someone give …
python regression statsmodelsI would like to produce a Scatterplot from a Pandas dataframe using the following code: df.plot.scatter(x='one', …
python pandas regression scatter-plotI have a balanced panel data set, df, that essentially consists in three variables, A, B and Y, that vary …
r regression plmI have a bunch of data, generally in the form a, b, c, ..., y where y = f(a, b, c...) …
statistics regression best-fit-curve