This is my go on Kaggle's Avocado Prices Competition..
In this repo I preprocess Kaggle's Avocado Prices data set.
In order to show ways to deal with Nans, I modified and deleted some of the data. Using Jupyter-Lab, I preprocessed the data set, checked for data types, Nans, Outliers and feature engineered and prepared the data pipeline for the predicting model. I visualised the different distributions of the data, and looked for inner correlations, highlighting insights.
I used the data set from https://www.kaggle.com/neuromusic/avocado-prices and modified it for my own usee..
I'm open for comments for this work.