Cross-Validation Courses and Certifications

Machine Learning

1 review

Comprehensive introduction to machine learning concepts, from fundamentals to advanced techniques, with clear explanations and practical applications.

• YouTube
• 22 hours
• On-Demand
• Free Video

Intermediate Machine Learning

1 review

Handle missing values, non-numeric values, data leakage, and more.

• Kaggle
• 4 hours
• On-Demand
• Free Certificate

David Wolpert on the No Free Lunch Theorems and Why They Undermine the Scientific Method

Explore the No Free Lunch Theorems and their implications for science, intelligence, and modeling. Gain insights into the relationship between mathematics and physics, and the limitations of universal problem-solving strategies.

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

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

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

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

University of Waikato

Data Mining with Weka

Learn data mining techniques using Weka software. Explore datasets, build classifiers, visualize data, and understand key concepts like cross-validation, overfitting, and ensemble learning.

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

Implement Time Series Analysis, Forecasting and Prediction with Tensorflow 2.0

36 ratings at Pluralsight

Time series analysis is one of the more difficult and confusing aspects of data science. This course will teach you how to use TensorFlow with time series data and generate high performing forecasts and predictions.

• Pluralsight
• 1 hour 6 minutes
• On-Demand
• Free Trial Available

Experimental Design for Data Analysis

35 ratings at Pluralsight

This course covers conceptual and practical aspects of building and evaluating machine learning models in a way that uses data judiciously, while also accounting for considerations such as ordering and relationships within data and other biases.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Modeling with tidymodels in R

25 ratings at DataCamp

Learn to streamline your machine learning workflows with tidymodels.

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

Microsoft Future Ready: Principles of Machine Learning with Python Programming

Understand the theory of machine learning before gaining practical experience using Python programming.

• FutureLearn
• 5 weeks, 5 hours a week
• On-Demand
• Free Online Course (Audit)

Microsoft Future Ready: Principles of Machine Learning with Python Programming

Understand the theory of machine learning before gaining practical experience using Python programming.

• FutureLearn
• 5 weeks, 5 hours a week
• On-Demand
• Paid Course

Model Evaluation and Optimization

Master advanced techniques for evaluating and optimizing regression models, from cross-validation to hyperparameter tuning and regularization methods for enhanced predictive accuracy.

• CodeSignal
• On-Demand
• Paid Course

TensorFlow Techniques for Model Optimization

Master advanced TensorFlow optimization techniques, from regularization and dropout implementation to callback utilization and Scikit-Learn integration, enhancing model performance and preventing overfitting.

• CodeSignal
• On-Demand
• Paid Course

Building and Evaluating Text Classifiers in Python

Master text classification techniques using Naive Bayes, logistic regression, and grid search optimization. Learn preprocessing, model training, cross-validation, and performance evaluation using Python and the SMS Spam dataset.

• CodeSignal
• On-Demand
• Paid Course