Multiple Logistic Regression and Predictive Analytics Made Simple in R - Part 1

This video is part 1 of the 5 part Multiple Logistic Regression in R. This video covers loading the dataset and the initial exploratory data analysis. This is an actual data science project and in this video series I will walk you through every aspect of it. The dataset used in this series is the Kratom store sales dataset from Kaggle.

You will see all of the code that I use in R Studio to do this multiple logistic regression analysis in r. We will find that some of the fields and external variables like violent crime and temperature can be used to predict the daytype (high sales (B) or low sales (A)).

In the end you will be left with a fully vetter and well tested process that uses predictive analytics to determine if a store will have high or low sales days (A or B type days). This process was originally built off proprietary data from my company and then I switched it to public data (kratom sales dataset) so I can share it with everyone.

Try all the code and my suggestion is to find a dataset that you like and has meaning to you. Then this learning will become far more interesting and meaningful to you. Also be sure and watch all of the videos in this logistic regression analysis series as there are lots of little cool tricks you will not want to miss!

Thanks for watching and I hope you found this helpful and interesting.

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Thanks again and God bless!

[RPhD]

Thank you for this awesome and helpful video!!

[victoriafoster]

hi thanks for sharing these, do you have the actual code used for this analysis to share ?

[affectionlifeaffliction]

Greetings! First of all, thanks for sharing your knowledge. I am a follower.
It would be helpful if you could tell how did you determine the Ratio and DayType values. I searched for the videos and found the one related to the correlation, but no the random forest exercise with the Kratom database, as mentioned.

[rizqiramadhan]

Hello! Thank you for sharing with us. I've just newly learn R and then try to learn it from your videos.
To keep up with this video lesson, I've tried to download the KratomSales1.csv file from Kaggle. Instead consisting of 11 variables as this video showed, the file only came with 9 variables with the Ratio and DayType variables are missing.

Do you have any suggestions where can I download the complete dataset?
Thank you very much!