_apm-01-introduction-to-binary-logistic-regression-python.jpg "APM 01 Introduction to Binary Logistic Regression - Python from linear data structures in python Video Screenshot Preview")
GalleryPlay Video:
(Note: The default playback of the video is HD VERSION. If your browser is buffering the video slowly, please play the REGULAR MP4 VERSION or Open The Video below for better experience. Thank you!)
⏲ Duration: 7 min 14 sec
✓ Published: 10-Apr-2021
✓ Published: 10-Apr-2021
Description:
In this video, we’ll learn about binary logistic regression and its application to real life data using PythonThis is part of the Exploratory Data Analysis unit in Digita Schools post graduate diploma in data Science https://www.digitaschools.com/course/data-science-online-masters/, carrying 120 UK credits and 60 European credits giving you fast track access to final module of a Masters degree programme at UK and European universities either online or on campus. nnWithout a doubt, binary logis
In this video, we’ll learn about binary logistic regression and its application to real life data using PythonThis is part of the Exploratory Data Analysis unit in Digita Schools post graduate diploma in data Science https://www.digitaschools.com/course/data-science-online-masters/, carrying 120 UK credits and 60 European credits giving you fast track access to final module of a Masters degree programme at UK and European universities either online or on campus. nnWithout a doubt, binary logis
Share with your friends:
Whatsapp | Viber | Telegram | Line | SMS
Email | Twitter | Reddit | Tumblr | Pinterest
_apm-02-introduction-to-binary-logistic-regression-ii.webp "In the previous video, we discussed the concept and application of binary logistic regression. We’ll now learn more about BLR model building and its assessment using R. This is part of the Exploratory Data Analysis unit in Digita Schools post graduate diploma in data Science https://www.digitaschools.com/course/data-science-online-masters/, carrying 120 UK credits and 60 European credits giving you fast track access to final module of a Masters degree programme at UK and European universities")
_fpm-02-introduction-to-multiple-linear-regression-python.webp "In this video we’ll look at Multinomial Logistic Regression, an extension of binary logistic regression.This is part of the Exploratory Data Analysis unit in Digita Schools post graduate diploma in data Science https://www.digitaschools.com/course/data-science-online-masters/, carrying 120 UK credits and 60 European credits giving you fast track access to final module of a Masters degree programme at UK and European universities either online or on campus. nnWe’ll first look at what multinom")
_gs-06-introduction-to-pandas-data-structures-in-python.webp "This is part of the Exploratory Data Analysis unit in Digita Schools post graduate diploma in data Science https://www.digitaschools.com/course/data-science-online-masters/, carrying 120 UK credits and 60 European credits giving you fast track access to final module of a Masters degree programme at UK and European universities either online or on campus. nnIn this In this video tutorial, we will look atpanda data structures are and how to use them. nWe ‘ll start with an introduction to the p")
_dv-04-visualisations-using-ggplot2.webp "In this video tutorial we'll look atdata visualization using the ggplot2 package in R.nThe ggplot2 package is one of the most popular packages in data science. This is part of the Exploratory Data Analysis unit in Digita Schools post graduate diploma in data Science https://www.digitaschools.com/course/data-science-online-masters/nnIt carries 120 UK credits and 60 European credits giving you fast track access to final module of a Masters degree programme at UK and European universities either")
_dm-04-merging-appending-amp-aggregating-data-python.webp "We will study different types of joins used to merge two datasets.nThis is part of the Exploratory Data Analysis unit in Digita Schools post graduate diploma in data Science https://www.digitaschools.com/course/data-science-online-masters/, carrying 120 UK credits and 60 European credits giving you fast track access to final module of a Masters degree programme at UK and European universities either online or on campus. nnThen we will study the aggregate function and how the function is used to")
_dv-01-basics-of-visualisation-i-python.webp "Data visualization is one of the key areas of data science. This is part of the Exploratory Data Analysis unit in Digita Schools post graduate diploma in data Science https://www.digitaschools.com/course/data-science-online-masters/, carrying 120 UK credits and 60 European credits giving you fast track access to final module of a Masters degree programme at UK and European universities either online or on campus. nnIn this Basic of Visualization in Python video tutorial,we will cover all commo")
_dv-03-visualising-relationships-python.webp "we will learn how to visually represent relationships between two or more variables and how to create those data visualisations in Python.This is part of the Exploratory Data Analysis unit in Digita Schools post graduate diploma in data Science https://www.digitaschools.com/course/data-science-online-masters/, carrying 120 UK credits and 60 European credits giving you fast track access to final module of a Masters degree programme at UK and European universities either online or on campus. nn We")
_dv-02-basics-of-visualisation-ii-python.webp "Starting with Box Whisker Plot and Histogram, we will move on to density plot, stem and leaf diagram and pareto chart. This is part of the Exploratory Data Analysis unit in Digita Schools post graduate diploma in data Science https://www.digitaschools.com/course/data-science-online-masters/, carrying 120 UK credits and 60 European credits giving you fast track access to final module of a Masters degree programme at UK and European universities either online or on campus. nnBox Whisker Plot shows")
_apm-02-introduction-to-binary-logistic-regression-ii.jpg)
_fpm-02-introduction-to-multiple-linear-regression-python.jpg)
_gs-06-introduction-to-pandas-data-structures-in-python.jpg)
_dv-04-visualisations-using-ggplot2.jpg)
_dm-04-merging-appending-amp-aggregating-data-python.jpg)
_dv-01-basics-of-visualisation-i-python.jpg)
_dv-03-visualising-relationships-python.jpg)
_dv-02-basics-of-visualisation-ii-python.jpg)
![[+]](/images/menu.gif){kind=small}