Classification Courses and Certifications

Wolfram

Get Started with AI - A Beginner's Guide to Automated Classification, Predictions and Computer Vision

Apply modern data science techniques for predictions, categorization, and relationship discovery using numeric, textual, and image data. Learn practical AI applications for beginners.

• YouTube
• 1 hour 43 minutes
• Self-Paced
• Free Video

MLOps.community

LLM vs XGBoost - Comparing Fine-Tuned LLMs and XGBoost on Tabular Data Classification

Explore LLM performance vs XGBoost for tabular data classification. Compare fine-tuned LLM predictions with traditional ML algorithms in this data science experiment.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Discover AI

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
• Self-Paced
• Free Video

AI Engineer

Git Push Get an AI API - Building AI-Augmented Apps with Classification and Natural Language Processing

Discover how to augment apps with AI for classification, search, summarization, and outlier detection using Hypermode to reduce infrastructure overhead and iterate quickly.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Logistic Regression Examples - Binary Classification

Explore practical examples of Binary Logistic Regression to understand its application in real-world scenarios.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Neural Networks: Examples - MLP Classification and Regression

Explore practical applications of neural networks through MLP classification and regression examples in this concise tutorial.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Machine Learning for Absolute Beginners - Level 1

33805 ratings at Udemy

Learn the Fundamental Concepts of Artificial Intelligence and Machine Learning as the Next Game-Changing Technology

• Udemy
• 4 hours 28 minutes
• Self-Paced
• Paid Course

Career Certificate

Introduction to Machine Learning with SciKit Learn

289 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
• Self-Paced
• 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
• Self-Paced
• Paid Course

Career Certificate

Comprehensive Introduction to PyTorch

227 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
• Self-Paced
• Free Certificate
• 4 courses

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
• Self-Paced
• 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
• Self-Paced
• Paid Course

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
• Self-Paced
• Paid Course

Complete Guide to TensorFlow for Deep Learning with Python

17101 ratings at Udemy

Learn how to use Google's Deep Learning Framework - TensorFlow with Python! Solve problems with cutting edge techniques!

• Udemy
• 14 hours 10 minutes
• Self-Paced
• 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
• Self-Paced
• Free Video