### Naive Bayes Classifier in Scikit-learn

Let’s learn about the Naive Bayes Classifier using scikit-learn.

### Multiple Regression In Statsmodels

In this lesson, we discuss multiple linear regression and how it differs from simple linear regression.

### Ordinary Least Squares (OLS) Regression In Statsmodels

For linear regression models, ordinary least squares is a common method used to estimate unknown parameters.

### Introduction To Scikit-learn Pipeline

The Sklearn pipeline aims to assemble several steps that can be validated together while adjusting various parameters.

### Here’s How To Plot A Confusion Matrix

Confusion matrix can be used to understand the effectiveness of binary or categorical classifiers. Let’s learn about confusion matrix and how to plot it.

### How To Normalize NumPy Array To A Unit Vector

In this article we will learn how to normalize Numpy array to a unit vector.

### Is There A Library Function For Root Mean Square Error In Python?

In this chapter, we will understand what is the significance of RMSE, and how to calculate it using scikit-learn.