Machine Learning Mathematical explanation and python implementation using sklearn Naive Bayes Classifier Naive Bayes Classifiers are probabilistic models that are used for the classification task. It

# Tag: Data Science

## Logistic Regression in Python

Logistic Regression in Python Logistic Regression is used for classification problems in machine learning. It is used to deal with binary classification and multiclass classification.

## Importing Packages in Python

Exploring different ways to import packages in Python Importing Packages in Python Packages are a way of structuring Python’s module namespace by using “dotted module names”.

## Linear Regression in Python

The math behind Linear Regression and the Python way of implementation Linear Regression in Python Linear Regression is a machine learning algorithm based on supervised

## New Union Operators to Merge Dictionaries in Python 3.9

merge (|) and update (|=) operators Photo by Toa Heftiba on Unsplash Merging Dictionaries in Python 3.9 Using the Union Operator In Python 3.9, merge | and

## New String Methods to Remove Prefixes and Suffixes in Python 3.9

removeprefix() vs lstrip(), removesuffix vs rstrip() Photo by Vlada Karpovich from Pexels New string methods in Python 3.9 In Python 3.9, new string methods removeprefix() and removesuffix() are