Download Udemy – Deep Learning Prerequisites: Logistic Regression in Python 2020-3

Description

Deep Learning Prerequisites: Logistic Regression in Python is a training course from Udemy that teaches you about logistic regression and coding in Python. This course is related to the science of deep learning and neural networks and teaches you one of the main and widely used techniques in machine learning, data science, and statistics. In this course, you will get acquainted with the theory of logistic regression and learn how to solve various problems with its help.

During this course, you will see how to apply the science of deep learning to different problems and learn how to code a logistic regression module in Python. The project that is made during this course is related to how to predict user activity on a website, with the help of which you can get information such as the type of device used, visits to the site’s products, the duration of the stay on the site, and the time of the visit. bring At the end of the course, another project will be made, with the help of which you can recognize people’s facial expressions from pictures.

Items taught in this course:

• Programming logistic regression In Python
• Familiarity with the application of logistic regression in data science
• Finding errors and updating roles for logistic regression
• Using logistic regression for biological neuron
• Using logistic regression to solve business problems
• Understanding why regularization is used in machine learning

Details of the course Deep Learning Prerequisites: Logistic Regression in Python:

• English language
• Duration: 5 hours and 59 minutes
• Number of courses: 58
• Education level: Intermediate
• Instructor: Lazy Programmer Inc
• File format: mp4

The topics of the Logistic Regression in Python course:

Course content
58 lectures 05:59:44

Start Here
4 lectures 18:00

Basics: What is linear classification? What is the relation to neural networks?
9 lectures 33:44

Solving for the optimal weights
11 lectures 46:13

Practical concerns
11 lectures 54:11

Checkpoint and applications: How to make sure you know your stuff
3 lectures 10:21

Project: Facial Expression Recognition
6 lectures 40:59

Appendix / FAQ
14 lectures 02:36:16

Prerequisites for Logistic Regression in Python course:

• Derivatives, matrix arithmetic, probability
• You should know some basic Python coding with the Numpy Stack
• Install numpy and matplotlib

Pictures

Sample video

Installation guide

After extracting, watch with your favorite player.

English subtitle

Quality: 720p

Changes:

Version 3/2020 compared to 2018/10 has increased the number of 2 lessons and about 10 minutes.

download link

Download Udemy – Deep Learning Prerequisites Logistic Regression in Python 2020-3

Password file(s): www.downloadly.ir

Size

850 MB