Logistic Regression SKLearn – Machine Learning example using Python – Part 1 (2020)


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.

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

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:

Data Analytics Course Link: http://ipidata.teachable.com/
Promo: “FIRST100” for $50 off

Download the raw data & the Python Notebook:

Seaborn Tutorial:

Yiannis Pitsillides on Social Media:

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow Book:



Comment List

  • Data 360 YP
    November 21, 2020

    How did you find this tutorial? Please let me know your thoughts!

  • Data 360 YP
    November 21, 2020

    You are amazing! , thanks for the efforts . really benefiting from every video u upload. feel really lucky to have found u 🙂

  • Data 360 YP
    November 21, 2020

    Thank you so much, you are very talented. Keep up the good work!

  • Data 360 YP
    November 21, 2020

    Adam Sandler is that you?

  • Data 360 YP
    November 21, 2020

    Great tutorial

  • Data 360 YP
    November 21, 2020

    I am struggling with my data analysis class and your video help a lot!! Thank you very much! I have subscribed to your channel and look forward to watching more tutorials!!!

  • Data 360 YP
    November 21, 2020

    I am pretty familiar with python and the concepts. As such, I could understand your thought-processing perfectly and all steps were very clear to me. However, I'm pretty sure that a person that's just diving in and trying to understand what's going on will have a hard time with this tutorial. Perhaps if you could add some pauses to your speech and, in order to not make the video very lenghty, perhaps split it, I believe you'd make yourself clearer to a even bigger audience. Cheers!

  • Data 360 YP
    November 21, 2020

    Thank you very much! You enlighted me with a lot of stuff. Definetly, like and subscribe to you, sir!

  • Data 360 YP
    November 21, 2020

    Excellent lecture! Wish I had this when I was in Uni.
    Thanks for sharing.

  • Data 360 YP
    November 21, 2020

    Excellent tutorial, so far the best. I found it via duckduckgo when searching for logistic regression tutorials using photo search. I did like the charts in the preview thumbnail 🙂

  • Data 360 YP
    November 21, 2020

    Excellent tutorial. Keep it up!

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