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#Confusion Matrix

Showing: 12 courses

Machine Learning

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Comprehensive introduction to machine learning concepts, from fundamentals to advanced techniques, with clear explanations and practical applications.
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83 Lesons
22 hours
On-Demand
Free-Video
Venelin Valkov

Evaluate LayoutLMv3 for Document Classification - Save & Load Model to HuggingFace Hub

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Learn to evaluate LayoutLMv3 for document classification, save and load models to HuggingFace Hub, and analyze performance using confusion matrices in this hands-on tutorial.
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9 Lesons
27 minutes
On-Demand
Free-Video
CodeWithHarry

Precision, Recall, Confusion Matrix and F1-Score - Machine Learning Tutorials in Hindi

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Aprenda a evaluar modelos de aprendizaje automático utilizando métricas clave como precisión, recall, matriz de confusión y puntuación F1, con ejemplos prácticos en Python.
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1 Lesons
40 minutes
On-Demand
Free-Video
Julia Silge

Deploy Different Prediction Types for a Bigfoot Sighting Model

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Learn to deploy various prediction endpoints for a Bigfoot sighting model using vetiver, including feature engineering, logistic regression, and natural language processing techniques.
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16 Lesons
29 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Statistical Inference of Logistic Regression: Confusion Matrix, Errors, and Model Selection

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Explore statistical inference in logistic regression, covering confusion matrices, error types, and model selection techniques for improved predictive accuracy.
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8 Lesons
17 minutes
On-Demand
Free-Video
Venelin Valkov

Predicting Diabetes with Logistic Regression in TensorFlow.js - Deep Learning for JavaScript Hackers

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Learn to build and train logistic regression models in TensorFlow.js for diabetes prediction. Covers data visualization, dataset creation, model evaluation, and advanced techniques.
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8 Lesons
43 minutes
On-Demand
Free-Video
deeplizard

CNN Confusion Matrix with PyTorch - Neural Network Programming

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Learn to build, plot, and interpret a confusion matrix using PyTorch for neural network evaluation, including techniques for disabling gradient tracking and analyzing model performance across different classes.
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1 Lesons
24 minutes
On-Demand
Free-Video
EuroPython Conference

Machine Learning Under Test

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Explore testing strategies for machine learning algorithms, focusing on code quality, domain-specific challenges, and practical implementation techniques for more robust and reliable ML models.
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21 Lesons
33 minutes
On-Demand
Free-Video
Neuro Symbolic

Performance Measurement for Machine Learning

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Master essential metrics and techniques for evaluating machine learning models, from accuracy assessment to advanced performance measurements in AI applications.
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1 Lesons
11 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Logistic Regression Implementation in R for Automotive Crash Testing

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Implement logistic regression in R for automotive crash testing, from data preparation to model evaluation and prediction.
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15 Lesons
21 minutes
On-Demand
Free-Video
Roboflow

Model Evaluation for Computer Vision - Precision, Recall, F1 Score, and Confusion Matrix

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Explore key metrics for evaluating computer vision models, including precision, recall, F1 score, and confusion matrices, to enhance your understanding of model performance.
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1 Lesons
26 minutes
On-Demand
Free-Video
IBM

Mastering Confusion Matrix in Machine Learning - From Confusion to Clarity

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Master the confusion matrix to evaluate and enhance machine learning model performance through accuracy, precision, and recall metrics for better classification results.
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1 Lesons
15 minutes
On-Demand
Free-Video