Cross-Validation Courses and Certifications

Rob Mulla

Complete Guide to Cross Validation

Comprehensive guide to cross-validation in machine learning, covering setup, datasets, common pitfalls, train-test splits, and practical applications using scikit-learn in Python.

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

NPTEL-NOC IITM

Cross Validation in Machine Learning - Bias-Variance Trade-off and Validation Techniques

Learn cross-validation techniques for model evaluation, including bias-variance trade-off, validation set approach, LOOCV, and k-fold CV, to improve predictive performance.

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

Molecular Imaging & Therapy

A Guide to Cross-Validation for AI - Avoiding Overfitting and Ensuring Generalizability

Explore cross-validation techniques for AI, including K-fold and nested methods. Learn to avoid overfitting, ensure generalizability, and select optimal approaches for model evaluation.

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

Neuro Symbolic

Cross-Fold Validation

Master cross-fold validation techniques to improve model evaluation and prevent overfitting in machine learning projects.

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

UofU Data Science

Cross-Validation in Data Analysis - Lecture 13

Master cross-validation techniques to evaluate model performance and select optimal parameters like polynomial degree using train/test and train/validation/test splits.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Hypertuning and Cross-Validation

Master hyperparameter optimization techniques through grid search, random search, and cross-validation methods to enhance machine learning model performance and achieve optimal results.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Python Machine Learning Bootcamp

105 ratings at Noble Desktop

Master machine learning fundamentals through hands-on Python programming, covering regression analysis, classification algorithms, and essential data science techniques for real-world problem-solving.

• Noble Desktop
• 30 hours
• On-Demand
• $1,895.00

Modeling with tidymodels in R

26 ratings at DataCamp

Learn to streamline your machine learning workflows with tidymodels.

• DataCamp
• 4 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

Introduction to Statistical Modeling in R

This course is designed to get you up to speed with the most important and powerful methodologies in statistics.

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

HR Analytics: Predicting Employee Churn in Python

In this course you'll learn how to apply machine learning in the HR domain.

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

Optimizing AI Strategies

Master AI model optimization through hyperparameter tuning, regularization, and deployment strategies to enhance trading performance and prevent overfitting.

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

Great Learning

K Fold Cross Validation

Learn k-fold cross-validation for machine learning, covering theory and hands-on practice in Python. Improve model performance and understand data splitting techniques for effective training and testing.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Jeff Heaton

Deep Learning Cross Validation for TensorFlow and Keras

Learn to implement cross-validation techniques for deep learning models using TensorFlow and Keras, enhancing model evaluation and performance in regression and classification tasks.

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

Microcredential

Introduction to Machine Learning with SciKit Learn

246 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
• On-Demand
• Free Certificate
• 7 courses