Creating Synthetic Data for Linear Regression

Many a times you want to implement Linear Regression on certain data but you do not find that kind of data online. In that case you can generate a synthetic data for your problem. In this post we will see how to generate a typical synthetic data for a simple Linear Regression. Import the required … Continue reading Creating Synthetic Data for Linear Regression

Top 5 Hyper-Parameters for Logistic Regression

Hyper-parameter is a type of parameter for a machine learning model whose value is set before the model training process starts. Most of the algorithm including Logistic Regression deals with useful hyper parameters. In this post we are going to discuss about the sklearn implementation of hyper-parameters for Logistic Regression. Below is the list of … Continue reading Top 5 Hyper-Parameters for Logistic Regression