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About Practice Problem: Big Mart Sales III

Nothing ever becomes real till it is experienced.

-John Keats

 

While we don't know the context in which John Keats mentioned this, we are sure about its implication in data science. While you would have enjoyed and gained exposure to real world problems in this challenge, here is another opportunity to get your hand dirty with this practice problem powered by Analytics Vidhya.

 

This hackathon aims to provide a professional setup to showcase your skills and compete with their peers, learn new things and achieve a steep learning curve.

Data Science Resources

  • You can access the free course on the complete EDA (Exploratory Data Analysis) and modelling for this problem using R here.
  • Are you a complete beginner? If yes, you can check out our latest 'Intro to Data Science' course to get kickstart your journey in data science.

Rules

  • One person cannot participate with more than one user accounts.
  • You are free to use any tool and machine you have rightful access to.
  • You can use any programming language or statistical software.
  • You are free to use solution checker as many times as you want.

 

FAQs

1.  Are there any prizes/AV Points for this contest?

This contest is purely for learning and practicing purpose and hence no participant is eligible for prize or AV points.

2. Can I share my approach/code?

Absolutely. You are encouraged to share your approach and code file with the community. There is even a facility at the leaderboard to share the link to your code/solution description.

3. I am facing a technical issue with the platform/have a doubt regarding the problem statement. Where can I get support?

Post your query on discussion forum at the thread for this problem, discussion threads are given at the bottom of this page. You could also join the AV slack channel by clicking on 'Join Slack Live Chat' button and ask your query at channel: practice_problems.


Registration Fee

Free
About the Big Mart Sales category
Problem to understand data exploring using r
My Solution - score 1080
Improving model score apart from gbm and randomforest
Problem while solving Big Mart problem using Linear Regression
KeyError in Big Mart Sales Problem
BigMart Baseline Solution - Score 1598 (Python codes)
Not updating leaderboard
How does the scoring system work in leader board?
Facing Problem in submission in Big Mart Practice DataSet
Bigmart sales using R
How to find the model works better from the RMSE and CV score?
Filling NaN values
Do these scores make sense?
Unable to combine train and test data set in Big mart Sales problem
TypeError when finding mode for each Outlet_Type
Not able to execute the following code in python version '3.5.1'
Response variable column missing from test file
Approach for Missing Value Imputation in Big Mart Sales Data
Operations on train data vs the test data
Unable to download the Big Mart Data Sales
What does mode(x).mode[0] mean?
Onlyy columns are visible after spliiting the combined data set back into train and test!
Plausible error in RMSE calculation by server
How to improve score
Feature selection and Model Tuning in R
Problem in submitting the solution
Need help in understanding data- Item MRP vs Item Outlet Sales scatterplot is interesting!
Tuning Parameters in XGBoost, However Same rmse score while submitting solution
Prediction using ridge regression
Applied ML