Linear Regression | Linear Regression in Python | Python Tutorial | Codegnan
In this video you are going to learn What is Linear Regression in Python? How do we relate our statistical term Regression to programming terminology? and also about Scikit-learn Linear Regression as for public demand. The packages used in this Linear Regression are Numpy, Panads, and Matplotlib is for Visualization. Let's dive in to the video.
Agenda:
1. What is Linear Regression in Python?
2. how Linear Regression relates to Programming Terminology
3. How Machine Learning is used in Linear Regression
4. Regression Analysis with Regression formula
Source Code Link : https://drive.google.com/drive/folder...
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Here we have timestamps to skip throughout the video
00:15 About Linear Regression and how it relates to Programming Terminology - Python
00:45 What is Linear Regression
01:20 What is Data in General?
02:21 Data is broadly categorized into 2 types
03:20 What is statistical term to find out and relate the most occurring value?
05:50 Segregating Machine Learning into 3 types
[Supervised, Un-Supervised, Reinforcement]
07:42 What is Regression and it relationship with Machine Learning
08:19 Why in the 21st Century people are rushing towards machine learning?
08:40 Learn about Functional Relationship
09:30 What do you mean by Linear Data
10:35 What does Slope determine in a Line Equation
12:20 Why you should go for Linear Regression?
14:26 Regression Analysis - Regression Formula
15:45 Final Step - Our aim is to reduce the distance between real values and predicted values
16:26 Open your Google Colab
Download URL: tinyurl.com/linearweb
17:55 Why do we prefer Google Colab
18:40 Upload/Import the data set from the downloadable URL
19:10 Importing essential packages
20:28 How to read data in Python
22:33 Removing un-named column in the data set
24:16 Performing Data Cleansing Operation
24:44 Collection your data
34:00 Plotting values on Regression line
48:00 Linear Regression with Scikit-learn Libraries
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