Welcome to our repository dedicated to applying machine learning techniques in the domain of trading. Here, we offer a comprehensive insight into applying machine learning techniques to trading strategies.

This is a Python repository implementing a K-Nearest Neighbors (KNN) algorithm for predictive modeling using car data.

The code performs data preprocessing, machine learning model training, evaluation, and model saving for a binary classification problem on the divorce dataset.

Using the above system, farmers can be guided in the choice of crops to be grown by predicting the suitable ones for a given region by incorporating supervised ML algorithms.