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Bigmart Outlet Sales Prediction

I have predicted outlet sales using the bigmart dataset(available on kaggle) in this project i have shown the step by step process for prediction like ,cleaning the dataset , visualiazing the dataset and then processing the dataset for fitting algorithms in dataset for final prediction

Tools Used:

1. Python – 3.7.2
2. Anaconda Navigator – 1.9.6
3. Jupyter Notebook – 5.7.4

Libraries Used:

1. Analyzing: Numpy, Pandas, Sci-kit Learn
2. Visualization: Matplotlib, Seaborn

Regressors Used –

1. Multiple Linear Regression
2. Random Forest Regression
3. Decision tree

Best regression model in this dataset comes out to be Multiple Linear Regression with 92.24% accuracy