Gradient Boosting Courses and Certifications

Advanced Modeling for Text Classification

Master advanced text classification using ensemble methods, deep learning, and neural networks with Python and TensorFlow. Build robust models using bagging, voting classifiers, gradient boosting, and RNNs for improved performance.

• CodeSignal
• 6 hours
• Self-Paced
• Free Certificate

XGBoost for Beginners

Master XGBoost fundamentals to build faster, accurate models with parameter tuning, early stopping techniques, and native interface configuration for optimal performance.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

AI for Business - AI Applications for Business Success

3159 ratings at Udemy

Learn how to leverage the power of AI to solve your business objectives

• Udemy
• 2 hours 15 minutes
• Self-Paced
• Paid Course

Coursera

Mining Quality Prediction Using Machine & Deep Learning

69 ratings at Coursera

Predict silica concentrate in iron ore using machine learning and deep learning models. Explore data, train models, and evaluate performance for faster mining industry predictions.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Coursera

Scikit-Learn For Machine Learning Classification Problems

19 ratings at Coursera

Learn to build and train classifier models using Scikit-Learn, exploring algorithms for classification, regression, and clustering, including support vector machines, random forests, and k-means.

• Coursera
• 1 hour 48 minutes
• Self-Paced
• Paid Course

Machine Learning in Healthcare: Fundamentals & Applications

11 ratings at Coursera

Explore data mining in healthcare, from theoretical foundations to practical applications. Learn to select methods, use software, and address real-world challenges in data cleaning, transformation, and modeling.

• Coursera
• 18 hours 23 minutes
• Self-Paced
• Paid Course

Coursera

Scikit-Learn to Solve Regression Machine Learning Problems

11 ratings at Coursera

Learn to build and train regression models using Scikit-Learn, exploring algorithms like support vector machines, random forests, and gradient boosting. Gain practical skills applicable to various industries.

• Coursera
• 1 hour 56 minutes
• Self-Paced
• Paid Course

Modeling Time Series and Sequential Data

Aprenda a modelar séries temporais e dados sequenciais usando abordagens tradicionais, bayesianas e de aprendizado de máquina. Explore técnicas avançadas de previsão e combine diferentes métodos para melhorar a precisão.

• Coursera
• 12 hours 15 minutes
• Self-Paced
• Paid Course

Coursera

Machine/Deep Learning for Mining Quality Prediction-Enhanced

Train machine learning and deep learning models to predict Silica Concentrate in iron ore, enhancing mining efficiency with faster, accurate predictions compared to traditional methods.

• Coursera
• 2 hours 43 minutes
• Self-Paced
• Paid Course

Packt

Machine Learning Foundations

Master feature engineering, core ML algorithms, and advanced techniques like neural networks and reinforcement learning through hands-on Python implementation.

• Coursera
• 7 hours 22 minutes
• Self-Paced
• Paid Course

Coursera

ML: Build, Train, Justify Models

Master practical ML workflows: transform business problems into ML tasks, train logistic regression, random forest, and gradient boosting models, and justify selections using bias-variance reasoning.

• Coursera
• 3 hours 4 minutes
• Self-Paced
• Paid Course

Packt

Deep Learning and Advanced Techniques

Master advanced deep learning with ensemble methods, neural networks, and frameworks like TensorFlow, PyTorch, XGBoost for real-world AI applications and model deployment.

• Coursera
• 9 hours 23 minutes
• Self-Paced
• Paid Course

Coursera

Forecast Business Metrics: Uncover Value Drivers

Master supervised learning to forecast business metrics like EBITDA using Python, regression models, and explainable AI techniques for actionable insights.

• Coursera
• 2 hours 7 minutes
• Self-Paced
• Paid Course

Coursera

Nail Regression & Classification

Master predictive modeling through regression diagnostics, advanced classification methods, and systematic model evaluation for business-critical decisions.

• Coursera
• 3 hours 16 minutes
• Self-Paced
• Paid Course

Coursera

Advanced Model Architectures & Language AI

Master advanced AI techniques including decision trees, ensemble methods, neural networks, LLMs, and RAG chatbots to build and deploy production-ready machine learning solutions.

• Coursera
• 15 hours
• Self-Paced
• Paid Course