Classification Courses and Certifications

Machine Learning Essentials

Explore statistical learning techniques for machine learning, including linear regression and classification. Apply concepts through Python coding assignments and practical problem-solving.

• Coursera
• 17 hours 59 minutes
• Self-Paced
• Paid Course

Introduction to Machine Learning in Sports Analytics

27 ratings at Coursera

Explore supervised machine learning techniques using Python and real athletic data to predict sports outcomes, applying methods like SVM, decision trees, and ensembles to analyze professional leagues and wearable device data.

• Coursera
• 12 hours 55 minutes
• Self-Paced
• Paid Course

Deep Learning Python Project: CNN based Image Classification

296 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
• Self-Paced
• Paid Course

Code Free Data Science

217 ratings at Coursera

Gain essential data science skills using KNIME Analytics Platform. Learn predictive modeling, data manipulation, and machine learning without coding. Apply algorithms to real data and interpret results.

• Coursera
• 14 hours 17 minutes
• Self-Paced
• Paid Course

Meaningful Predictive Modeling

49 ratings at Coursera

Evaluate and compare predictive models using diagnostic techniques and performance measures. Learn to implement training/validation/test pipelines for robust model generalization.

• Coursera
• 8 hours 33 minutes
• Self-Paced
• Paid Course

Learn to build and evaluate neural network classification models using PyTorch, covering data preparation, binary and multiclass designs, and performance metrics for real-world applications.

• Codecademy
• 3 hours
• Self-Paced
• Free Trial Available

Learn to build convolutional neural networks, preprocess image data, and use filter and pooling layers for effective image classification with TensorFlow.

• Codecademy
• 2 hours
• Self-Paced
• Free Trial Available

Classification Models

9 ratings at Udacity

Learn how to use classification predictive models to solve business problems involving non-numeric data.

• Udacity
• 5 hours
• Self-Paced
• Free Online Course

Master CNNs, vision transformers, and DETR for image classification and object detection using PyTorch with hands-on projects and data augmentation techniques.

• Codecademy
• 5 hours
• Self-Paced
• Free Trial Available

Master text classification using PyTorch neural networks and fine-tune BERT transformers for movie review sentiment analysis with transfer learning optimization techniques.

• Codecademy
• 4 hours
• Self-Paced
• Free Trial Available

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

Learn machine learning with Python and TensorFlow. Build neural networks for diabetes prediction and wine review classification. Covers key concepts and practical implementation.

• freeCodeCamp
• 1-2 hours
• Self-Paced
• Free Video

Predict Visitor Purchases with a Classification Model in BigQuery ML

In this lab you will use a newly available ecommerce dataset to run some typical queries that businesses would want to know about their customers’ purchasing habits.

• Google Skills
• 1 hour
• Self-Paced
• Free Online Course

Creating a Data Science Pipeline for Recipe Classification: Wolfram U

Learn to build a data science pipeline using Wolfram Notebooks, from importing and cleaning data to creating visualizations and deploying a cloud-based app for recipe classification.

• Wolfram U
• 1 hour
• Self-Paced
• Free Online Course

Amazon Web Services;  Amazon

Getting Started with Amazon Comprehend: Custom Classification

Develop a custom classification model with Amazon Comprehend for real-time analysis, enhancing data science and engineering capabilities in natural language processing.

• AWS Skill Builder
• 1-2 hours
• Self-Paced
• Paid Course

Learn how Microsoft supports data discovery, classification, and protection as part of a cybersecurity solution

Comprehensive cybersecurity training on Microsoft's data protection solutions, covering discovery, classification, governance, and prevention of data loss across various platforms and applications.

• Microsoft Learn
• 1 hour 50 minutes
• Self-Paced
• Free Online Course