Logistic Regression in Python 2020-3 – Download
Description
Deep Learning Prerequisites: Logistic Regression in Python is a course from 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 it 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.
You see how the science of deep learning is used in a variety of issues during the course, and learn how to code the module Logistic Regression in the Python language. During this period, a project related to how to predict user activity in a website can be created which will help you in getting information like type of device used etc. Visits to products’ websites, time spent on site, and time of visit for profit. At the end of the period, another project can also be created which can help in recognizing faces of people from images.
Cases in which the course is taught:
- programming logistic regression In Python language
- To become 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 hours 59 minutes
- 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 lectures 18:00
Basics: What is Linear Classification? What is related to neural network?
9 lecture 33:44
Solution for optimal weight
11 Lecture 46:13
practical concerns
11 lectures 54:11
Checkpoint and Apps: How to Make Sure You Know Your Stuff
3 lecture 10:21
Project: Facial Expression Recognition
6 lecture 40:59
Addendum/FAQs
14 lectures 02:36:16
Prerequisite Course 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.
Subtitle:English
Quality: 720p
Change:
Number 2 lessons of 2018/10 and about 10 minutes, increase time compared to version 2020/3.
download link
Download Udemy – Deep Learning Prerequisites Logistic Regression in Python 2020-3
Password file(s): free software
file size
850 MB