Black Friday Sales Prediction Analysis (Regression) | Machine Learning | Python

⭐️ Content Description ⭐️
In this video, I have explained about black friday sales prediction analysis. This is a regression problem. I have done EDA(graph visualization), preprocessing, Encoding, Model Training, etc., The future works are hyperparameter tuning, normalization, try different model, creation of new attributes, etc.,
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🕒 Timeline
00:00 Introduction to Black Friday Sales Analysis
03:09 Import modules and load data using pandas
05:08 Statistics data information
08:59 Exploratory Data Analysis of black friday sales
22:35 Preprocessing the black friday sales data
29:29 Correlation matrix for black friday sales
31:40 Splitting the data for input & output
32:37 Model Training & Testing for black friday sales
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[@funwithgame4858]

Very nicely done.. u have explained well please keep doing more projects u are helping a lot of people.

[@HackersRealm]

Thanks for your kind words!!! I will try my best to provide more resources!!!

[@shiva6226]

You don't know how much you have helped me thorugh this video. Thanks a lot bro 💖💖💖💖💖💖

[@HackersRealm]

Glad it was helpful!!!

[@aditigupta1367]

your projects really help us ...the new one or not from technical background..a lot....pls do a analysis on crimes in india dataset..as it contains so many files do khow how to manage

[@HackersRealm]

yeah will do it soon!!!

[@aditigupta1367]

@@HackersRealm can I connect to you at any other platform for more help as m a beginner.... email...fb...insta...or any other

[@HackersRealm]

@@aditigupta1367 yeah, use the link in the description

[@masellaniabdulaziz3485]

Hi, may I know preprocessing or exploratory data we need to do first? from your bigmart sale, you did preprocessing and followed by EDA. But in this tutorial, you did eda and follow by preprocessing.

[@HackersRealm]

It's better to do EDA first in general. There is no specific order to do things

[@mohammedrahil3912]

Hi there, Why didn't you apply preprocessing for test and train data ?

[@bhavikdudhrejiya852]

Variables have missing values suppose to be dropped as it has more than 20% missing values

[@Jessiedna1]

Can you make a similar analysis or highlight the differences in making this analysis with R? Thanks for the amazing content =)

[@HackersRealm]

Sorry I didn't work on R as the concept remains the same, if you have any request on python, I can make a video later

[@Jessiedna1]

@@HackersRealm Thank you for your prompt reply! Did you make the hyperparameter tuning video for this dataset? Very grateful for the content and for your reply =)

[@HackersRealm]

@@Jessiedna1 I didn't do hyperparameter tuning for this video. but you can check the playlist for a video on that for how to do that. You can apply it to all the projects, methods remains same.

[@sarthakaswal7023]

Do we need to memorise the syntaxes??

[@varuncharan9109]

bro give reply where is linear regression model for this project?

[@sarthakaswal7023]

Make videos on R programming models also.

[@varuncharan9109]

hii, where is sale prediction in this video, where is the accuracy of the linear regression model

[@shashankreddy8390]

why did you fill null values with -2.0? can we use mean to fill the null values?

[@HackersRealm]

Yeah we can do that, I am just mentioning different ways of filling null values

[@f1j1born]

Hi For the last part "Submission", the "User_ID column was already dropped in the preprocessing stage , so please advise how you can refer to that column during the Submission stage".. I am getting KeyError: 'User_ID'

[@HackersRealm]

you can store it somewhere if you are using for submisssion.

[@chiragkushwaha8594]

Hey, If we don't use aggfunc in bivariate analysis, it will consider by mean by default!!!

[@ananthakumararulanantham8711]

As Sum

[@hrittickdebnath35]

Yes buddy make this kind of project.

[@HackersRealm]

yeah sure

[@hrittickdebnath35]

@@HackersRealm can you make few unsupervised ML problem

[@hrittickdebnath35]

I mean clustering problem

[@HackersRealm]

already uploaded one problem in that, turkey student evaluation

[@vvaishnavi3531]

Prediction of purchase amount regarding single customer right ? or is it for group of customers please answer this...

[@HackersRealm]

single customer for single product

[@nelsonjoseph3673]

Is the test prediction inside the competition platform.

[@HackersRealm]

you can submit the test results in analytics vidhya platform for practice problem

[@Veenamega]

Hi can you share the documentation for this project ,which will be useful for learning purposes

[@HackersRealm]

You can check the github readme or the text based tutorial for more details

[@Veenamega]

@@HackersRealm thanks a lot

[@vvaishnavi3531]

The dataset used here contains about 5 lakh rows and 2 lakh rows in Train and test .Are all the rows used here or some of the rows are only used because system can't handle such a large amount of dataset. Please answer this question it is viva voce question .pls

[@HackersRealm]

in the video, all samples are used for the project

[@vvaishnavi3531]

@@HackersRealm Thanks ...👍

[@shivamkumar-xk9wh]

Why you fill -2 on the place of thanks?

[@shivamkumar-xk9wh]

Why you fill (-2.0) on the place of null value?

[@HackersRealm]

This is one way to fill null values... Filling with negative numbers... There are other ways that you can check in channel video

[@mohammedfaraaz178]

HOW TO DOWNLOAD THE DATASET

[@HackersRealm]

the links available in description or you can get it from github as well

[@pharshithgiri729]

last line pred = model.predict(x_test) x_test not working why is that

[@HackersRealm]

What error it's showing?

[@pharshithgiri729]

It's telling x_test not defined.

[@HackersRealm]

@@pharshithgiri729 I guess you have to rerun the input or train test split

[@pharshithgiri729]

@@HackersRealm x_test is local variable. When you call it later, it is not defined.

[@HackersRealm]

@@pharshithgiri729 run the train_test_split in train function outside once, then you'll get the x_test data

[@sarthakaswal7023]

Did you memorise everything you wrote???

[@HackersRealm]

You don't need to memorize, if you know what to use, just search for it and use it... If you do it continuously, You will automatically get used to it!!!

[@sarthakaswal7023]

@@HackersRealm Pls make more on other topics also. M.L, D.L and R models.

[@HackersRealm]

@@sarthakaswal7023 I will try my best but I have already covered most of the topics in the channel. Please check the playlist for more videos!!!

[@sarthakaswal7023]

x_test is not defined.

[@HackersRealm]

@@sarthakaswal7023 It's just an example of how to predict from test data. If you have test data, you can try that piece of code

[@padalasravya160]

For the line sns.countplot(df['gender']) This could not convert string to float

[@padalasravya160]

Sir can u reply soon

[@HackersRealm]

@@padalasravya160 try to rerun the code from start and see if the issue is still occurring

[@al-khwarizmiacademy9506]

@@HackersRealm yes same problem...and i rerun but same problem is showing....could not convert string to float...please answer

[@HackersRealm]

@@al-khwarizmiacademy9506 are you using same dataset or different one... if it's different, you might need to do some preprocessing if avoid this error like making the column with same type

[@CodeWarrior3514]

Solved : Replace df['Gender'] with x=df.Gender