Description
Deep Learning Prerequisites: Logistic Regression in Python is a course on the Udemy website that is a logistic regression and coding topic in Python language that you can teach. This course deals with the science of deep learning neural networks and is one of the core techniques and is widely used in machine learning science, knowledge of data and statistics to teach you. In this course, you can get acquainted with the theory of logistic regression and how to solve various issues to help you learn it.
How do you use the science of deep learning in various issues during the course, you see and learn how to code module logistic regression in Python language. During this period, a project can be created related to how to predict user activity in a website which will help you get information like type of device used etc. Visit the website of products, time spent on the site, and time of visit to profit. At the end of the period, another project can also be created which can help in recognizing people’s faces from images.
Cases in which the course is taught:
- Programming logistic regression In Python language
- Getting familiar with the application of logistic regression in data science
- Find errors and update roles for logistic regression
- Use of logistic regression in neuron biology
- Using Logistic Regression to Solve Business-Related Issues
- Understand the reasons for using regular storage in machine learning
Features of Deep Learning Prerequisites: Logistic Regression in Python:
- language English
- Duration Time: 5 hrs 59 mins
- Number of courses: 58
- Training Level: Intermediate
- Instructor: Lazy Programmer Inc.
- File format: mp4
This course covers Logistic Regression in Python:
course content
58 Lecture 05:59:44
start here
4 Lecture 18:00
The basics: what is linear classification? What is the relation to neural networks?
9 Lecture 33:44
Solutions for optimal weight
11 Lecture 46:13
Practical concerns
11 Lecture 54:11
Checkpoints and applications: How to make sure you know your stuff
3 Lecture 10:21
Project: Facial Expression Recognition
Lecture 6 40:59
Addendum / FAQ
14 Lecture 02:36:16
Prerequisite Courses Logistic Regression in Python:
- Derivatives, Matrix Arithmetic, Probability
- You should know some basic Python coding with Numpy stack
- install numpy and matplotlib
Images
Sample Film
installation Guide
Your custom view after extract with the player.
Subtitles: English
Quality: 720p
Change:
Version 2020/3 compared to version 2018/10 has increased the number 2 lessons and time by about 10 minutes.
download link
Download Udemy – Deep Learning Prerequisites Logistic Regression in Python 2020-3
Password File(s): free download software
file size
850MB