Introduction When it comes to data visualization, the debate of Bokeh vs Plotly is a hot topic. Building a machine learning model necessitates the use

Introduction The bias-variance tradeoff is the central problem in data analytics. When we talk about the bias-variance tradeoff, we are talking about two metrics: bias

Introduction Regularization in machine learning is an important technique to avoid overfitting. Most of the time our machine learning models suffer from overfitting. Overfitting is

Introduction Evaluation of a model is an important part of machine learning and it requires reading a lot of metrics. And one of the famous

Decision Tree vs Random Forest is a topic that is often debated in the machine learning community. Both algorithms are supervised machine learning algorithms and