Deep Learning with Yacine on MSN

Backpropagation from scratch in Python – step by step neural network tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
Scientific Research Publishing

Virtanen, P., Gommers, R., Oliphant, T.E., Haberland, M., Reddy, T., Cournapeau, D., et al. (2020) SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...
IEEE

Optimizing K-Nearest Neighbor Values Using The Elbow Method

Abstract: Optimizing the K value in the K-Nearest Neighbor (KNN) algorithm is a critical step in enhancing model performance, particularly for tasks related to classification and prediction. The Elbow ...
GitHub

Hands-on Algorithmic Problem Solving

In short, this is a middle-to-high level algorithm book designed with cracking coding interviews at hearts. It offers a one-stop coding interview prep experience. The structure of the book: (1) math ...
GitHub

Yusuf İslam İnan yusufislaminan

In here we use given [IMU](https://www.arrow.com/en/research-and-events/articles/imu-principles-and-applications)(Inertial Measurement Unit) data of a vehicle to ...
IEEE

Enhancing Breast Cancer Prediction with an Advanced K-Nearest Neighbors (KNN) Algorithm Integrated with Feedback Support Mechanism

Abstract: Cancer poses a formidable global health challenge characterized by a persistent rise in mortality rates, with breast cancer emerging as the predominant form in 2020. Effectively addressing ...