ZS_Data_Science_Challenge

• This is the challenge organised by Hacker earth.

This problem involves:

• Handle data to pre-process and generate relevant features and insights for modeling.
• Knowledge of machine learning/statistics.
• Identifying the right technique to approach the solution.
• Different techniques to improve the accuracy.

Challenge Time:

• 65 hours

Rank:

• 223 out of 4743 participants

Language:

• Python

Files:

• Mekktronix_Sales_Forecasting Notebook - Contains the implementation of different algorithms that were applied on the preprocessed data.
• Arima algorithm - Contains the implementation of Arima on the preprocessed data.
• Presenattion - Contains the approach towards the problem and the details of the challenge.
• Approach Rmd file - Approach file(Rmd version of Presentation).
• SMAPE file - This file contains the SMAPE score on train data for different algorithms.
• Predicted file - This csv file contains the predictions that were predicted on test file.(The values are achieved using xgboost algorithm)

Developer:

• M R Abhishek
• LinkedIn