News

GitHub2y
antk99/Naive-Bayes-and-Softmax-Regression
Conducted data cleaning by removing headers, footers, and quotes. Transformed text data into numerical features using the bag-of-words representation. Utilized the provided training and test CSV files ...
GitHub4y
This repo contains a custom implementation of a Softmax Regression classifier with Batch Gradient Descent and early stopping using just NumPy.
including a comparison with Scikit-learn's implementation of Softmax Regression and a demonstration of its use. SoftmaxRegression.py - Python file containing only the class so that it can be imported ...
IEEE4y
Data-Driven Fault Detection and Classification for MTDC Systems by Integrating HCTSA and Softmax Regression
This paper puts forward a data-driven ... the reduced features, a softmax regression classifier (SRC) is further proposed to calculate the probability of each fault category with a relatively minor on ...
Hosted on MSN23d
Build A Neural Network In Python — Multiclass Classification With Softmax
Hands-on coding of a multiclass neural network from scratch, with softmax and one-hot encoding. #Softmax #MulticlassClassification #PythonAI The oil rustlers of West Texas: Thefts surge in the ...
IEEE2y
A Piecewise Linear Regression and Classification Algorithm With Application to Learning and Model Predictive Control of Hybrid Systems
The resulting algorithm that we call piecewise affine regression and classification (PARC) alternates between first, solving ridge regression problems for numeric targets, softmax regression ...