esssyjr's Stars
ultralytics/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
esssyjr/Binary-Classification-Bike-Buyer
This Project demonstrates the classification of bike buyers using various machine learning models. It includes data preprocessing, model implementation (Decision Tree, Logistic Regression, and Neural Network), and evaluation of model accuracies. The notebook provides a comprehensive guide for bike buyer classification
esssyjr/Multi-class-Classification-of-Dry-Beanss
This project aims to classify different types of dry beans using a Neural Network model trained on the Dry Bean Dataset. The Dry Bean Dataset contains various features of dry beans, such as area, perimeter, major and minor axis lengths, and shape factors. By leveraging the power of TensorFlow, the model achieves an accuracy of 92% on test data.
llSourcell/linear_regression_live
This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube