Skip to content

Time Series Prediction for Kaggle - Final project - Predict future sales. Highlights: Mean encoding, Feature engineering, Out of fold training and Model Stacking.

Notifications You must be signed in to change notification settings

anqitu/kaggle-predict-future-sales

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 

Repository files navigation

Time-Series-Prediction-with-Model-Stacking

Time Series Prediction for Kaggle - Final project - Predict future sales. Highlights: Mean encoding, Feature engineering, Out of fold training and Model Stacking.

This is the final assignment of a Coursera course I took on Data Analytics. I got the chance to practice several things learnt such as Feature engineering with mean encoding and Model Stacking. All of these allow me to get the 9th place oo the Public Leaderboard.

The full data can be downloaded from https://www.kaggle.com/c/competitive-data-science-predict-future-sales .

From Kaggle: This challenge serves as final project for the "How to win a data science competition" Coursera course. In this competition you will work with a challenging time-series dataset consisting of daily sales data, kindly provided by one of the largest Russian software firms - 1C Company. We are asking you to predict total sales for every product and store in the next month. By solving this competition you will be able to apply and enhance your data science skills.

About

Time Series Prediction for Kaggle - Final project - Predict future sales. Highlights: Mean encoding, Feature engineering, Out of fold training and Model Stacking.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages