Confusion Matrix Courses and Certifications

R Programming: R for Data Science and Data Analytics A-Z™

56 ratings at Udemy

Learn R Programming Hands-on - Vectors and Data Frames, R Packages & Functions, R in Data Visualization, Apply R for ML

• Udemy
• 7 hours
• On-Demand
• Paid Course

Data Science Interview Questions & Answers

51 ratings at Udemy

Prepare for Data Scientist and Machine Learning Engineer interviews by learning the frequently asked interview questions

• Udemy
• 2 hours 38 minutes
• On-Demand
• Paid Course

A Guide to Statistics and Probability

30 ratings at Udemy

Build your mathematics and statistics foundations strongly

• Udemy
• 5 hours 40 minutes
• On-Demand
• Paid Course

Machine Learning

1 review

Comprehensive introduction to machine learning concepts, from fundamentals to advanced techniques, with clear explanations and practical applications.

• YouTube
• 22 hours
• On-Demand
• Free Online Course

Venelin Valkov

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

1 review

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.

• YouTube
• 27 minutes
• On-Demand
• Free Online Course

Julia Silge

Deploy Different Prediction Types for a Bigfoot Sighting Model

Learn to deploy various prediction endpoints for a Bigfoot sighting model using vetiver, including feature engineering, logistic regression, and natural language processing techniques.

• YouTube
• 29 minutes
• On-Demand
• Free Online Course

Venelin Valkov

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

Learn to build and train logistic regression models in TensorFlow.js for diabetes prediction. Covers data visualization, dataset creation, model evaluation, and advanced techniques.

• YouTube
• 43 minutes
• On-Demand
• Free Online Course

deeplizard

CNN Confusion Matrix with PyTorch - Neural Network Programming

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.

• YouTube
• 24 minutes
• On-Demand
• Free Online Course

EuroPython Conference

Machine Learning Under Test

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.

• YouTube
• 33 minutes
• On-Demand
• Conference Talk

Machine Learning: Predict Poisonous Mushrooms using a Random Forest Model and the FFTrees Package in R

98 ratings at Coursera

Learn to predict poisonous mushrooms using Random Forest and FFTrees in R. Practice data distribution analysis, model application, and result evaluation with confusion matrices.

• Coursera
• 1 hour 55 minutes
• On-Demand
• Paid Course

CodeWithHarry

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

Aprenda a evaluar modelos de aprendizaje automático utilizando métricas clave como precisión, recall, matriz de confusión y puntuación F1, con ejemplos prácticos en Python.

• YouTube
• 40 minutes
• On-Demand
• Free Online Course

Predict Housing Prices in R on Boston Housing Data

Develop predictive models for housing prices using R and Random Forest, analyzing Boston Housing Data through data distribution, model application, and result evaluation.

• Coursera
• 1 week
• Finished
• Paid Course

Predict Ideal Diamonds over Good Diamonds using a Random Forest using R

33 ratings at Coursera

Explore diamond quality prediction using Random Forest in R, covering data preparation, visualization, model application, and performance evaluation.

• Coursera
• 1 hour 55 minutes
• Finished
• Paid Course

Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set

32 ratings at Coursera

Learn to predict gas guzzlers using a Neural Net model on the MPG data set in a 2-hour project-based course offered by Coursera Project Network. Ideal for North American learners.

• Coursera
• 1 hour 55 minutes
• Finished
• Paid Course

Fine-tuning Convolutional Networks to Classify Dog Breeds

Learn to classify dog breeds using TensorFlow in a 2-hour project on Coursera. Gain skills in data preprocessing, model building, performance evaluation, and fine-tuning models.

• Coursera
• 2 hours 10 minutes
• Finished
• Paid Course