In this tutorial, we explore the design and implementation of an Advanced Neural Agent that combines classical neural network techniques with modern stability improvements. We build the network using ...

from sklearn.neighbors import KNeighborsClassifier import matplotlib.pyplot as plt from sklearn.metrics import accuracy_score from sklearn.base import clone from itertools import combinations ...

Abstract: Multi-party computation (MPC) has gained increasing attention in both research and industry, with many protocols adopting the preprocessing model to optimize online performance through the ...

In this tutorial, we’ll explore a range of SHAP-IQ visualizations that provide insights into how a machine learning model arrives at its predictions. These visuals help break down complex model ...

Abstract: This paper evaluates the performance of the Ridge Regression Model for prediction of Locational Based Marginal Pricing (LBMP) of New York City. 2020–2021 New York Independent System Operator ...

The data provides insights into peak times for specific meals and helps identify patterns in guest behavior based on time of day, meal period, and venue location. This dataset is used for predicting ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...