Building your first Machine Learning Model - Predicting customer behaviour with KNN classification 

This project is aimed towards beginners and involves building a KNN classification model using Scikit-Learn. The purpose is to predict whether a customer is likely to buy a product based on their past purchase behavior. The project will also cover feature engineering techniques such as one-hot encoding, feature selection, training and testing of the model. Additionally, it will demonstrate how to save models as pickles, load them in a new environment, and predict output for a new set of data. All steps will be explained in detail for a completely hands-on learning experience.
Github link for source code and data : github.com/futurexskill/proje...
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