Data Science: Supervised Machine Learning In Python

Description

Data Science: Supervised Machine Learning In Python is a video tutorial on machine learning or machine learning with Python programming language from Udemy. Machine learning has led to amazing results, such as being able to analyze medical images and predict diseases with human experts. Machine learning is even being used to program cars, changing the automotive industry forever. Imagine, with the elimination of human errors, traffic accidents worldwide would drastically decrease.

In this training course, you will learn step by step machine learning algorithm with Python programming language along with Sci-Kit.

Features of the Supervised Machine Learning In Python course:

• Understanding the limitations of Bayes classification
• Learning and implementing propron in Python
• Understanding the products and how to apply cross-validation
• Understand the pros and cons between classical machine learning and deep learning methods
• Python programming: if/else, loops, lists, dicts, sets

Characteristics of the Supervised Machine Learning In Python course:

• Duration: 6h 5m
• English language
• Number of lessons: 53 lessons
• Movie format: AVC 1280×720
• Sound: AAC 48KHz 2ch
• Instructor: Lazy Programmer Inc.

Course topics:

Course prerequisites

• Python, Numpy, and Pandas experience
• Probability and statistics (Gaussian distribution)
• Strong ability to write algorithms

Pictures

Sample video

Installation guide

After extract, view with the required player.

English subtitle

Quality: 720p

Changes:

The version of 2019/12 has increased by 1 lesson and about 8 minutes compared to 2018/10.

The 2020/7 version has increased by 1 lesson and 3 minutes compared to 2019/12.

download link

Download Udemy – Data Science Supervised Machine Learning in Python 2020-7

Password file(s): www.downloadly.ir

Size

905 MB