Udemy – Data Science & Machine Learning: Naive Bayes in Python 2025-1

Data Science & Machine Learning: Naive Bayes in Python is a training course for data science and machine learning in the Python programming language, published by Udemy Academy. During the process of this training course, the simple Biz classifier will be discussed and analyzed in a completely specialized manner. Artificial intelligence consists of a set of different algorithms, each of which has a specific application. Classifiers and especially the simple Bayes classifier is one of the most important topics in the field of Bayesian statistics, which is used in various fields such as computer vision, natural language processing, economic analysis, health and pharmaceuticals, genomics, etc. Without learning this very important topic, you will not be able to learn newer and more advanced topics.

Naive Bayes has unique types and subsets, the most important of which are Gaussian Naive Bayes, Bernoulli Naive Bayes, and Multinomial Naive Bayes. Bayes) pointed out.

What you will learn in Data Science & Machine Learning: Naive Bayes in Python:

• The use of simple Bayes subsets in the fields of computer vision and image classification
• The use of simple Bayes subsets in the fields of text classification and natural language processing
• The use of simple Bayes subsets in the fields of disease prediction and diagnosis, economic and financial analysis, and genomics.
• Different simple Bayes algorithms
• Different approaches to build and develop simple Biz-based models
• And …

Course specifications

Publisher: Udemy
Instructors: Lazy Programmer Inc and Lazy Programmer Team
Language: English
Level: Introductory to Advanced
Number of Lessons: 45
Duration: 7 hours and 22 minutes

Course topics

Data Science & Machine Learning: Naive Bayes in Python Prerequisites

Decent Python programming skills
Experience with Numpy, Matplotlib, and Pandas (we’ll be using these)
For advanced portions: know probability

WHAT ORDER SHOULD I TAKE YOUR COURSES IN?

Check out the lecture “Machine Learning and AI Prerequisite Roadmap” (available in the FAQ of any of my courses, including my free course)

Pictures

Data Science & Machine Learning: Naive Bayes in Python introduction video

Installation guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

The 2025/1 version has an increase of 13 lessons and a duration of 2 hours and 22 minutes compared to 2022/11. Subtitles have also been added.

Download link

Download Part 1 – 1 GB

Download Part 2 – 546 MB

Size

1.5 GB