Logistic Regression SKLearn – Machine Learning example using Python – Part 1

In this video, we will go over a Logistic Regression example in Python using Machine Learning and the SKLearn library. This tutorial is for absolute beginners. We will cover all the steps of the machine learning process. I also explain some of the theory to help you understand Machine Learning and Logistic Regression in general. Support the channel on Patreon: https://www.patreon.com/data360yp Data Analytics Course Link: http://ipidata.teachable.com/ Part 1 Link: https://youtu.be/tODN7x3BO_E Part 2 Link: https://youtu.be/NPdn3YPkg9w Part 3 Link: https://youtu.be/0HDy6n3UD5M Tutorial Overview Video 1: 1. What is Machine Learning 2. Process of Machine Learning 3. Problem Formulation 4. Loading the Raw Data 5. Data Preprocessing • EDA Video 2: 5. Data Preprocessing • Data Cleaning • Feature Selection 6. Splitting the Raw Data 7. What is Logistic Regression Analysis Video 3: 8. Running Logistic Regression 9. Evaluating the Model 10. Hyper Parameter Tuning 11. Final Model with Selected Parameters 12. How to use our L. 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-%20Logistic%20Regression%20Example Seaborn Tutorial: https://youtu.be/Pkvdc2Z6eBg Yiannis Pitsillides on Social Media: https://twitter.com/pitsillides91 https://www.instagram.com/ypexists/?hl=en https://www.pinterest.co.uk/pitsillides91/boards/ https://www.facebook.com/groups/1500092413449073/ Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow Book: https://amzn.to/31nQyMk