Download Udemy – Deep Learning Prerequisites: Linear Regression in Python

Description

Deep Learning Prerequisites: Linear Regression in Python is a Python programming course from the Udemy website. This course is suitable for computer science students and professional Python programmers and teaches very important topics such as data science, machine learning, 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 is published focusing on the linear regression analysis method and teaches all the theoretical and practical topics related to it. At the end of the course, you will get to know the implementation methods of this technique and you will develop several practical applications and projects together with the instructor.

Linear regression is used in various fields such as machine learning, artificial intelligence, data science and statistics, and its deep learning can have a significant impact on your future career. At first, you will start your work with simple one-dimensional projects and in the next parts you will make multi-dimensional models. Multidimensional learning models can simultaneously receive data from several information sources and analyze them. At the end of this section, you will build an intelligent system to measure a person’s blood pressure based on information related to the user’s age and weight. The educational topics of the course do not end here, and in the last sessions, you will learn about 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 course:

• Linear regression models
• Making intelligent blood pressure calculation software based on age and weight with the help of linear regression
• Familiarity with the most important bugs and problems of machine learning
• Teaching the basic concepts of data science, statistics, artificial intelligence, deep learning, etc.
• Building dedicated linear regression models using Python programming language

Course details

Publisher: Yodmi
teacher: Lazy Programmer Inc
English language
Training level: introductory to advanced
Number of courses: 54
Training duration: 6 hours and 24 minutes

Course headings

Deep Learning Prerequisites course: Linear Regression in Python

How to take a derivative using calculus

Basic Python programming

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

Course images

Deep Learning Prerequisites: Linear Regression in Python course introduction video

Installation guide

After Extract, view with your favorite Player.

Subtitle: Spanish (some lessons have English subtitles)

Quality: 720p

Changes:

The version of 2021/1 has increased the number of 1 lesson and the duration of 14 minutes compared to 2020/6.

download link

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

Password file(s): www.downloadly.ir

Size

943 MB