Linear Regression in Python Jupyter Notebook - Part 2

Data Preprocessing Techniques. Learn how to run Multiple Linear Regression Analysis using Python from scratch! Learn the process of Machine Learning and all the tasks / steps you must undertake. Then, learn how to apply them using some dummy data and a Multiple Linear Regression Algorithm in Python using scikit (SKLearn) library.

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Data Analytics Course Link:
http://ipidata.teachable.com/

Part 1 Link: https://youtu.be/lfuJgQwY6Po
Part 2 Link: https://youtu.be/8_Le51miL-8
Part 3 Link: https://youtu.be/P-ePxiYlOMQ

Linear Regression in Python Jupyter Notebook

Tutorial Overview
Video 1:
1. What is Machine Learning?
2. Process of Machine Learning
3. Problem Formulation Phase
Video 2:
4. Loading the Raw Data
5. Data Preprocessing
• EDA – Exploratory Data ANalysis
• Data Cleaning
• Feature Selection
6. Splitting the Raw Data
Video 3:
7. What is Linear Regression Analysis
8. Running Regression
9. Evaluating the Model
10. How to use our Linear Regression model

How to download and install Python through Anaconda:
https://youtu.be/__8BK62j-bw

Data Analytics Course Link: http://ipidata.teachable.com/

Download the raw data & the Python Notebook:
https://github.com/Pitsillides91/Python-Tutorials/tree/master/Introduction%20to%20ML%20-%20Linear%20Regression%20Example

Seaborn Tutorial:
https://youtu.be/Pkvdc2Z6eBg

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Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow Book:
https://amzn.to/31nQyMk