MLP based CNN for Classification
Perceptrons are the foundational elements of artificial neural networks, inspired by the biological neuron. Developed by Frank Rosenblatt in the late 1950s, they represent one of the earliest models of machine learning capable of learning from data.
Read MoreCrop Yield Predictor for Cereal Crops of Nepal
Introduction This project implements a comprehensive pipeline for predicting cereal crop yields in Nepal using machine learning techniques. The workflow begins with raw data extraction via Optical Character Recognition (OCR) and culminates in model training and performance evaluation. The pipeline is built using Python and leverages powerful tools such as Tesseract OCR, Pandas, NumPy, scikit-learn, Matplotlib, and Seaborn.
Read More