Udemy – Deep Learning Prerequisites: Linear Regression in Python 2021-1

Description

Deep Learning Prerequisites: Linear Regression in Python is a Python programming course from the Udemy website. This course is suitable for students of computer science and professional Python programmers and teaches very important topics such as data science, machine learning and deep learning and artificial intelligence. Linear regression is one of the most important and basic techniques in the field of machine learning and data science and can be a very good starting point for learning these techniques. This training course has been published with the focus on linear regression analysis method and teaches all theoretical and practical issues related to it. At the end of the course, you will get acquainted with the methods of implementing this technique and you will develop several practical applications and projects simultaneously with the instructor.

Linear regression is used in various fields such as machine learning, artificial intelligence and deep learning, data science and statistics, and deep learning can have a significant impact on your future career. First, start with simple, one-dimensional projects and build the next parts of multidimensional models. Multidimensional learning models can simultaneously receive and analyze data from multiple sources of information. At the end of this section, you will build an intelligent system to measure a person’s blood pressure based on information related to their age and weight. The training topics of the course do not end here, and in the last sessions you will get acquainted with some of the most important problems and bugs of machine learning such as generalization, overfitting and train-test splits.

What you will learn in Deep Learning Prerequisites: Linear Regression in Python

• Linear regression models
• Development of intelligent blood pressure calculation software based on age and weight with the help of linear regression
• Familiarity with the most important bugs and machine learning problems
• Teaching basic topics of data science, statistics, artificial intelligence, deep learning and …
• Build proprietary linear regression models using the Python programming language

Course specifications

Publisher: Udemy
Instructors: Lazy Programmer Inc
Language: English
Level: Introductory to Advanced
Number of Lessons: 54
Duration: 6h 24m

Course topics

Deep Learning Prerequisites: Linear Regression in Python Prerequisites

How to take a derivative using calculus

Basic Python programming

For the advanced section of the course, you will need to know probability

Pictures

Deep Learning Prerequisites: Linear Regression in Python introduction video

Installation guide

After Extract, watch with your favorite Player.

Subtitles: Spanish (some courses have English subtitles)

Quality: 720p

download link

Download Udemy – Deep Learning Prerequisites Logistic Regression in Python 2021-1

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Size

943 MB