Supervised Machine Learning in Python 2020-7 — Download

Description

Data Science: Supervised Machine Learning in Python Video Training Machine learning or teaching machine learning with the programming language python from the Udemy website is. Machine learning produces amazing results, it is like being able to analyze medical images and predict disease with experts. Machine learning is even used to plan vehicles, which can lead to a change in the automotive industry forever. Imagine, road accidents reduced drastically across the world with the elimination of human error.

In this course, you will see step-by-step algorithms of machine learning with the programming language Python, in a complete and with the Sci-Kit tutorial.

Features of the Supervised Machine Learning course in Python:

Understand the limitations of classification business Bayes
Learn and implement Propatron in Python
Understand the products and how to apply Credit Mutual (Cross-Validation)
Understand the advantages and disadvantages between classic machine learning and deep learning methods
Programming Python: if/else, loops, lists, dicts, sets,

Features of Supervised Machine Learning in Python:

Duration Time: 6 Hours 5 Minutes
language English
Number of courses: 53 lessons
Video format: AVC 1280×720
Audio: AAC 48KHz 2ch
Instructor: Lazy Programmer, Inc.

Headlines course:

Data Science: Supervised Machine Learning in Python

Prerequisite Courses

Experience with Python, Numpy, and Pandas
Probability and Statistics (Gaussian Distribution)
Strong ability to write algorithms

Images

Data Science: Supervised Machine Learning in Python

Sample Film

installation Guide

Essential scene after extract with player.

Subtitles: English

Quality: 720p

Change:

Version 2019/12 has increased the number of lessons by 1 lesson and approximately 8 minutes compared to 2018/10.

Version 2020/7 has increased the number of lessons by 1 and 3 minutes compared to 2019/12.