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.

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.

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.