Model Evaluation Courses and Certifications

Introduction to Predictive Modeling

Gain insights into predictive modeling fundamentals using real estate data, linear regression techniques, and model evaluation methods to make data-driven decisions.

• CodeSignal
• On-Demand
• Free Certificate

Building a Neural Network in TensorFlow

Master TensorFlow fundamentals and build neural networks through hands-on coding. Create, train, and evaluate models for binary classification while learning essential concepts like layers, activation functions, and predictions.

• CodeSignal
• On-Demand
• Free Certificate

Modeling the Iris Dataset with TensorFlow

Master TensorFlow fundamentals through hands-on practice with the Iris dataset, covering data preprocessing, model building, performance evaluation, early stopping implementation, and model deployment techniques.

• CodeSignal
• On-Demand
• Free Certificate

Building a Neural Network in PyTorch

Master PyTorch neural networks from scratch - build, train, and evaluate models through hands-on examples covering network architecture, sequential models, training loops, and performance metrics.

• CodeSignal
• On-Demand
• Free Certificate

Modeling the Wine Dataset with PyTorch

Master PyTorch by building a wine classification model, from data preprocessing through model evaluation, visualization, and deployment - all using practical hands-on techniques.

• CodeSignal
• On-Demand
• Free Certificate

Regression Analysis to Model Diamond Prices

Master regression analysis techniques to predict diamond prices through data splitting, model training, evaluation, and advanced visualization methods.

• CodeSignal
• On-Demand
• Free Certificate

Introduction to Supervised Machine Learning

Master supervised machine learning through hands-on wine quality prediction, implementing linear and logistic regression models while exploring feature analysis, gradient descent, and model evaluation techniques.

• CodeSignal
• On-Demand
• Free Certificate

Quantifying Relationships with Regression Models

19 ratings at Coursera

Explore linear regression for measuring variable relationships. Learn to create, interpret, and evaluate bivariate and multivariate models, including binary dependent and interactive models. Develop skills to critically analyze regression analyses.

• Coursera
• 11 hours 28 minutes
• On-Demand
• Free Online Course (Audit)

Applied Machine Learning: Techniques and Applications

Master applied machine learning techniques for computer vision, data analysis, and model evaluation. Gain hands-on experience with image processing, supervised learning, and essential skills in data pre-processing and performance assessment.

• Coursera
• 19 hours 24 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Social Computing

Explore social computing's impact on society. Gain skills in social media analytics, responsible AI, and gamification. Apply machine learning to real-world scenarios and understand online behavior dynamics.

• Coursera
• 20 hours 45 minutes
• On-Demand
• Free Online Course (Audit)

Securing AI and Advanced Topics

Explore AI-based cybersecurity, from fraud detection to adversarial attacks. Gain hands-on experience with GANs, reinforcement learning, and model optimization to address real-world security challenges.

• Coursera
• 15 hours 31 minutes
• On-Demand
• Free Online Course (Audit)

Meaningful Predictive Modeling

48 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
• On-Demand
• Free Online Course (Audit)

Machine Learning Foundations for Product Managers

472 ratings at Coursera

Build foundational understanding of machine learning, including model development, evaluation, and common algorithms. Gain hands-on experience training and optimizing a model for a real-world problem.

• Coursera
• 14 hours 57 minutes
• On-Demand
• Free Online Course (Audit)

Data Science at Scale - Capstone Project

25 ratings at Coursera

Apply data science skills to real-world projects, from data preparation to model evaluation. Collaborate with stakeholders on ambiguous problems, gaining practical experience in tackling complex challenges.

• Coursera
• 6 hours 10 minutes
• On-Demand
• Paid Course

Predictive Modeling and Transforming Clinical Practice

This course teaches you the fundamentals of transforming clinical practice using predictive models. This course examines specific challenges and methods of clinical implementation, that clinical data scientists must be aware of when developing their pred…

• Coursera
• 11 hours 31 minutes
• On-Demand
• Free Online Course (Audit)