Model Evaluation Courses and Certifications

H2O.ai

Practical Machine Learning on H2O

74 ratings at Coursera

Learn core machine learning techniques using H2O, including linear models, random forests, GBMs, and deep learning. Evaluate and choose optimal models for your data and business constraints.

• Coursera
• 1 day 6 minutes
• On-Demand
• Free Online Course (Audit)

Applied Data Science Capstone

7171 ratings at Coursera

Predict SpaceX Falcon 9 first stage landing success using data science methodology, including data collection, analysis, visualization, and machine learning models.

• Coursera
• 13 hours 7 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

64 ratings at Coursera

Explore machine learning's technical aspects, from foundational principles to advanced methods. Learn to avoid pitfalls, interpret models, and evaluate performance while gaining insights into cutting-edge techniques and ethical considerations.

• Coursera
• 17 hours 26 minutes
• On-Demand
• Free Online Course (Audit)

AI for Medical Diagnosis

1967 ratings at Coursera

In this course, you will create convolutional neural network image classification and segmentation models to make diagnoses of lung and brain disorders.

• Coursera
• 20 hours 23 minutes
• On-Demand
• Free Online Course (Audit)

Venelin Valkov

Object Detection on Custom Dataset with YOLO - Fine-Tuning with PyTorch and Python Tutorial

6 reviews

Fine-tune YOLO v5 for custom object detection using PyTorch. Learn model installation, training, evaluation, and application on a clothing dataset.

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

Logistic Regression Practical Case Study

4835 ratings at Udemy

Detect breast cancer using logistic regression. Build a model to predict tumor malignancy based on 9 variables. Learn data preprocessing, model training, and evaluation using Google Colab.

• Udemy
• 1 hour 6 minutes
• On-Demand
• Free Online Course

Multiple and Logistic Regression in R

In this course you'll learn to add multiple variables to linear models and to use logistic regression for classification.

• 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

Credit Risk Modeling in Python

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

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

Feature Engineering with PySpark

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

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

Practicing Machine Learning Interview Questions in Python

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

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

Decision Trees, Random Forests, AdaBoost & XGBoost in Python

963 ratings at Udemy

Decision Trees and Ensembling techniques in Python. How to run Bagging, Random Forest, GBM, AdaBoost & XGBoost in Python

• Udemy
• 7 hours 19 minutes
• On-Demand
• Paid Course

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

AI for Medical Prognosis

777 ratings at Coursera

In this course, you will build risk models and survival estimators for heart disease using statistical methods and a random forest predictor to determine patient prognosis.

• Coursera
• 1 day 5 hours 44 minutes
• On-Demand
• Free Online Course (Audit)

End-to-End Machine Learning

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

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