Classification Models Courses and Certifications

MathWorks

Predictive Modeling and Machine Learning with MATLAB

89 reviews

Learn to build, evaluate, and optimize regression and classification models using MATLAB. Apply supervised machine learning workflows to real-world datasets and improve model performance through feature selection and hyperparameter tuning.

• Coursera
• 18 hours 52 minutes
• On-Demand
• Paid Course

Weights & Biases

Label Factory - LLMs for Training Small Language Classification Models at Scale

Discover how to create small, multimodal classifiers using LLMs for content moderation at scale, achieving 90%+ accuracy without human annotation through knowledge distillation.

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

Classification Models

2 ratings at Udacity

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

• Udacity
• 5 hours
• On-Demand
• Free Online Course

CertNexus

Build Regression, Classification, and Clustering Models

19 ratings at Coursera

Learn to build regression, classification, and clustering models using various algorithms. Gain hands-on experience in model selection, evaluation, and tuning for supervised and unsupervised learning tasks.

• Coursera
• 20 hours 19 minutes
• On-Demand
• Paid Course

Tableau;  Alteryx Microcredential

Predictive Analytics for Business

293 ratings at Udacity

Develop advanced analytics skills using Alteryx and Tableau to solve real-world business problems, prepare for Business Analyst roles, and make data-driven decisions.

• Udacity
• 52 hours
• On-Demand
• Paid Course

Machine Learning with caret in R

18 ratings at DataCamp

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Machine Learning in the Tidyverse

13 ratings at DataCamp

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

• DataCamp
• 5 hours
• On-Demand
• Free Trial Available

Model Validation in Python

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Practicing Statistics Interview Questions in Python

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Train and Evaluate Classification Models

Train and evaluate classification models using Scikit-Learn. Learn binary classification, logistic functions, thresholds, and performance metrics for effective machine learning categorization.

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

Data Science Dojo

Hybrid Chatbots - Merging LLMs and Classification Models for Enhanced Conversational Experiences

Explore hybrid chatbots combining LLMs and classification models for natural, engaging interactions. Learn to accelerate development, optimize resources, and enhance accuracy in customer service and healthcare applications.

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

NPTEL-NOC IITM

PyTorch - Building Classification Models

Master building classification models in PyTorch with hands-on coding examples and practical implementation techniques.

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

Introduction to Data Science with Python

156 ratings at edX

Learn the concepts and techniques that make up the foundation of data science and machine learning.

• edX
• 8 weeks, 3-4 hours a week
• On-Demand
• Free Online Course (Audit)

Neural Networks in Python: Deep Learning for Beginners

1730 ratings at Udemy

Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python

• Udemy
• 9 hours 21 minutes
• On-Demand
• Paid Course

Artificial Neural Networks (ANN) with Keras in Python and R

1026 ratings at Udemy

Understand Deep Learning and build Neural Networks using TensorFlow 2.0 and Keras in Python and R

• Udemy
• 8 hours 36 minutes
• On-Demand
• Paid Course