📱 A Smart Forecasting Model Using K-Nearest Neighbors (K-NN)
This project is a machine learning-based approach to predict iPhone sales using the K-Nearest Neighbors (K-NN) algorithm. Sales prediction helps businesses align production, marketing, and distribution with real-time demands. As part of my Machine Learning lab practicals, this project demonstrates the ability to analyze and model sales trends using historical data. K-NN, a supervised ML algorithm, works by classifying or predicting data based on the similarity to neighboring data points. It offers a simple yet powerful technique to forecast sales outcomes based on historical patterns.
PROJECT DOCUMENTATION, you can find the complete project documentation here.
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Machine-Learning algorithm - K-NN(K Nearest Neighbors) algorithm
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Python
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Kaggle(dataset)
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Jupyter Notebook