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Retail-Bigmart-Sales

Retail analysis smartly handled using data science techniques.

Data-set Problems

BigMart's data scientists gathered 2013 sales data for 1559 commodities across ten locations in many cities. Additionally, certain characteristics of each product and retailer have been determined.

Objective of this analyse

  • Perform initial data exploration.
  • Perform data pre-processing.
  • Perform exploratory analysis and hypothesis testing (statistical and non-statistical) in cleaned data set.
  • Perform feature engineering (one-hot encoding, label encoding, and binning).

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