How does SelectKBest work in Feature Selection?
How does SelectKBest, filters out the rest & keeps the best? SelectKBest is a popular feature selection technique that is used to retain relevant featur...
Recent Posts
Principal Component Analysis (PCA) to Address Multicollinearity
Multicollinearity is a serious problem to tackle when you are creating a Linear Regression model. There are various popular techniques like variance inflati...
Assumptions of Linear Regression with Python
A lot of us stop once we have created a Linear Regression model with high R-squared or a low RMSE value. Linear Regression works on some key assumptions: ...
How to Interpret Regression Analysis Results: P-values and Coefficients
Linear Regression is much more than just using scikit-learn’s fit & predict function. If you use Statsmodels API for Linear Regression, you will get a c...
Understanding the use of any() and all() in NumPy arrays
If you get this Value error in numpy The truth value of an array with more than one element is ambiguous. Use a.any() or a.all(). In this Numpy tutorial, I w...