Classification Courses and Certifications

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DSPy for In-Context Learning and RAG Classification - Code Explained

Explore state-of-the-art extreme multi-label classification using DSPy's Infer-Retrieve-Rank program, combining frozen retrieval with in-context learning for optimal results.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Deep Learning Python Project: CNN based Image Classification

295 ratings at Udemy

Master Image Classification with CNN on CIFAR-10 dataset: A Deep Learning Project for Beginners using Python

• Udemy
• 1 hour 28 minutes
• On-Demand
• Paid Course

Microcredential

Introduction to Machine Learning with SciKit Learn

246 ratings at CodeSignal

Master machine learning fundamentals using SciKit-learn, from data preprocessing through advanced model evaluation, including regression, classification, ensemble methods and hyperparameter tuning.

• CodeSignal
• 18 hours
• On-Demand
• Free Certificate
• 7 courses

Coursera

Classification Trees in Python, From Start To Finish

233 ratings at Coursera

Learn to build and optimize Classification Trees using Python, handling real-world data challenges like missing values and categorical variables. Implement Cost Complexity Pruning and Cross Validation for improved model performance.

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

Coursera

Fine Tune BERT for Text Classification with TensorFlow

212 ratings at Coursera

Learn to fine-tune BERT for text classification using TensorFlow, covering data preprocessing, input pipelines, and model training. Gain hands-on experience with advanced NLP techniques.

• Coursera
• 2 hours 51 minutes
• On-Demand
• Paid Course

Supervised Text Classification for Marketing Analytics

14 ratings at Coursera

Learn to use supervised deep learning for text classification in marketing analytics, covering machine learning workflows, neural networks, and practical implementation using Google Colab and Python.

• Coursera
• 17 hours 48 minutes
• On-Demand
• Paid Course

Modelos predictivos con Machine Learning

32 reviews

En este curso conocerás los fundamentos del aprendizaje automático y como crear modelos de predicción, regresión y clasificación con ayuda de Python. Explorarás problemas de clasificación, regresión, series de tiempo, agrupamiento y sistemas expertos.

• edX
• 4 weeks, 6-8 hours a week
• On-Demand
• Free Online Course (Audit)

Unsupervised Text Classification for Marketing Analytics

Aprende a usar aprendizaje profundo no supervisado para extraer temas e insights de datos textuales en marketing, con tutoriales en Python y un proyecto final. Utiliza Jupyter Notebooks y Google Colab.

• Coursera
• 13 hours 28 minutes
• On-Demand
• Paid Course

Microcredential

Comprehensive Introduction to PyTorch

194 ratings at CodeSignal

Master PyTorch fundamentals through hands-on exercises, progressing from tensor basics to advanced neural networks and model optimization techniques using real-world datasets like wine classification.

• CodeSignal
• 11 hours
• On-Demand
• Free Certificate
• 4 courses

Understanding Worker Classification Crash Course

153 ratings at Udemy

How to distinguish employees from independent contractors.

• Udemy
• 1 hour 54 minutes
• On-Demand
• Paid Course

Classification in Computer Vision - Lecture 18

Explore classification in computer vision, covering features, linear classification, nearest neighbor, decision boundaries, and maximum margin classifiers. Gain insights into fundamental algorithms and problem-solving approaches.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Introduction of BDT and Neural Networks for Classification in High Energy Physics - Lecture 2

Explore Boosted Decision Trees and Neural Networks for particle classification in High Energy Physics, enhancing data analysis techniques for groundbreaking discoveries.

• YouTube
• 1 hour 48 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Introduction of BDT and NN for Classification in HEP

Introduction to Boosted Decision Trees and Neural Networks for particle classification in High Energy Physics, covering fundamental concepts and applications in experimental data analysis.

• YouTube
• 1 hour 44 minutes
• On-Demand
• Free Video

QuantumTopology

Classification of Prime Genus 1 Virtual Knots of Low Complexity

Explore prime genus 1 virtual knots of low complexity, their classification methods, and implications in quantum topology with A. Akimova's in-depth analysis.

• YouTube
• 51 minutes
• On-Demand
• Free Video

IEEE

An Equivalence Between Private Classification and Online Prediction

Explore the connection between private classification and online prediction, examining theoretical implications and potential applications in machine learning and data privacy.

• YouTube
• 23 minutes
• On-Demand
• Free Video