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Classification Models courses 37

Learn Classification Models online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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Google Cloud

Recommendation Systems on Google Cloud

4.5485 ratings

In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine. This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.

Partner
  • Coursera
  • 2 weeks of study, 6 - 8 hours per week
  • Self-paced
  • Paid certificate

IBM

Machine Learning: Classification

This course covers key supervised machine learning (ML) and classification techniques, including logistic regression, decision trees, ensemble methods, and handling unbalanced datasets. Build and evaluate classification models using real-world data.

  • edX
  • 2 weeks, 23 - 27 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

IBM

Introduction to Neural Networks and PyTorch

4.41,916 ratings

Get ready to build the foundational PyTorch skills you need to launch your career as an AI Engineer – the fastest growing job title in the United States. Starting with tensors, this course takes you right through to fully trained classification models. You will master tensor operations, build custo…

Partner
  • Coursera
  • 7 weeks 2-4 hours a week
  • Self-paced
  • Paid certificate

freeCodeCamp

TensorFlow for Computer Vision Course - Full Python Tutorial for Beginners

Learn how to use TensorFlow 2 and Python for computer vision in this complete course. The course shows you how to create two computer vision projects. The first involves an image classification model with a prepared dataset. The second is a more real-world problem where you will have to clean and p…

Free video
  • YouTube
  • 4.5 hours
  • Self-paced
  • Free video

Microsoft

Introduction to AI and ML (Coding Foundations)

Build a strong foundation in artificial intelligence and machine learning. Learn core AI concepts, prepare and visualize data using Python, build regression and classification models, evaluate performance responsibly, and explore cloud-based ML using Azure.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

Google Cloud

Running Distributed TensorFlow using Vertex AI

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use TensorFlow's distribution strategies and the Vertex AI platform to train and deploy a custom TensorFlow image classification model to classify an image classification dataset.

Partner
  • Coursera
  • 1 hour 30 minutes
  • Self-paced
  • Paid certificate

Alison

Machine Learning for Apps

3.530 ratings

This free course covers foundational Python, the language most predominantly used in machine learning (ML). The course will show you how to build a classification model from scratch to make predictions, using a world-famous data set to train the model. You'll create a neural network, capable of cla…

  • Alison
  • 6 hours
  • Self-paced
  • Free course
  • Paid certificate
  • Beginner

CodeSignal

Token Classification in NLP using spaCy

Delve into token classification in NLP with this focused learning path. This course centers on using spaCy for token classification, from setting up an NLP pipeline to advanced classification model fine-tuning. Upon completion, you'll be adept in utilizing spaCy for token classification in NLP.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

Udacity

Classification Models Free Course

3.79 ratings

Learn how to use classification models to predict non-numeric outcomes, such as whether a customer will respond to a marketing campaign, default on a loan, or cancel a subscription.

Partner
  • Udacity
  • 5 hours
  • Self-paced
  • Free course

MathWorks

Introduction to Deep Learning for Computer Vision

4.920 ratings

Starting with zero deep learning knowledge, this foundational course will guide you to effectively train cutting-edge models for image classification purposes. From analyzing medical images to recognizing traffic signs, classification is important for many applications. Classification models also s…

Partner
  • Coursera
  • 8.5 hours
  • Self-paced
  • Paid certificate

Google Cloud

Classify Images with TensorFlow Convolutional Neural Networks

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you'll learn about how to use convolutional neural networks to improve your image classification models.

Partner
  • Coursera
  • 75 minutes
  • Self-paced
  • Paid certificate

Google Cloud

Vertex AI Tabular Data: Qwik Start

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to build a binary classification model from tabular data using Vertex AI.

Partner
  • Coursera
  • 45 minutes
  • Self-paced
  • Paid certificate

Udacity

Generative AI Fundamentals Course

4.646 ratings

Employ the abilities of Generative AI with a deep dive into fundamentals. This course examines how various models are developed, how they work, and how to use them to their full potential.

Partner
  • Udacity
  • P4W
  • Self-paced
  • Intermediate

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