Linear And Logistic Regression

Logistic Regression in R Studio  eBooks & eLearning

Posted by lucky_aut at Jan. 10, 2023
Logistic Regression in R Studio

Logistic Regression in R Studio
Last updated 2022-11-03
Duration: 06:16:21 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.56 GB
Genre: eLearning | Language: English [Auto]

Logistic regression in R Studio tutorial for beginners. You can do Predictive modeling using R Studio after this course.

Logistic Regression in Python  eBooks & eLearning

Posted by lucky_aut at Jan. 10, 2023
Logistic Regression in Python

Logistic Regression in Python
Last updated 2022-11-03
Duration: 07:33:26 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.54 GB
Genre: eLearning | Language: English [Auto]

Logistic regression in Python tutorial for beginners. You can do Predictive modeling using Python after this course.

SAS Essential Training: 2 Regression Analysis for Healthcare Research  eBooks & eLearning

Posted by lucky_aut at Oct. 5, 2023
SAS Essential Training: 2 Regression Analysis for Healthcare Research

SAS Essential Training: 2 Regression Analysis for Healthcare Research
Released: 4/2/2019
Duration: 3h 30m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 552 MB
Genre: eLearning | Language: English

Advanced Statistics And Econometrics For Business.  eBooks & eLearning

Posted by ELK1nG at Feb. 6, 2023
Advanced Statistics And Econometrics For Business.

Advanced Statistics And Econometrics For Business.
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.69 GB | Duration: 5h 6m

Learn statistical techniques that will give you the edge using GRETL Software
Regression Models With Python For Beginners: Theory and Applications of Linear Models and Logistic Model with python fro

AI Publishing, "Regression Models With Python For Beginners: Theory and Applications of Linear Models and Logistic Model with python fro"
English | ISBN: 1733042679 | 2020 | 128 pages | PDF | 5 MB

Practical Supervised And Unsupervised Learning With Python  eBooks & eLearning

Posted by ELK1nG at Jan. 3, 2023
Practical Supervised And Unsupervised Learning With Python

Practical Supervised And Unsupervised Learning With Python
Last updated 4/2019
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.58 GB | Duration: 8h 48m

Enter the world of Artificial Intelligence! Develop Python coding practices while exploring Supervised Machine Learning

Theoretical Machine Learning From Scratch - Linear Models  eBooks & eLearning

Posted by ELK1nG at April 19, 2021
Theoretical Machine Learning From Scratch - Linear Models

Theoretical Machine Learning From Scratch - Linear Models
MP4 | Video: h264, 1280x720 | Audio: AAC, 48000 Hz
Language: English | Size: 747 MB | Duration: 2h 5m

Learn the theory and math behind Linear and Logistic regression and also learn to code them from scratch

Binary Logistic Regression with Minitab: Ssmbb Level Topic  eBooks & eLearning

Posted by ELK1nG at Feb. 10, 2021
Binary Logistic Regression with Minitab: Ssmbb Level Topic

Binary Logistic Regression with Minitab: Ssmbb Level Topic
MP4 | h264, 1280x720 | Lang: English | Audio: aac, 44100 Hz | 3h 3m | 1.27 GB

Perform and Analyze the Results of Binary Logistic Regression Analysis using Minitab 19

Lynda - Healthcare Analytics: Regression in R  eBooks & eLearning

Posted by U.N.Owen at Jan. 19, 2017
Lynda - Healthcare Analytics: Regression in R

Lynda - Healthcare Analytics: Regression in R
Size: 520 MB | Duration: 4h 2m | Video: AVC (.mp4) 1280x720 30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Advanced | Language: English

Linear and logistic regression models can be created using R, the open-source statistical computing software.

Regression, a Friendly Guide (MEAP V03)  eBooks & eLearning

Posted by GFX_MAN at Jan. 14, 2023
Regression, a Friendly Guide (MEAP V03)

Regression, a Friendly Guide (MEAP V03)
English | 2022 | ISBN: 9781617298950 | 207 pages | PDF,EPUB | 8.7 MB

A friendly, fun guide to making accurate predictions and revealing relationships in your data using linear and logistic regression.