🔅 Machine Learning Foundations: Probability

📝 Get an in-depth introduction to probability, find out why its a prerequisite for machine learning, and learn how to use it to design and implement machine learning algorithms.

🌐 Author: Terezija Semenski
🔰 Level: Beginner
⏰ Duration: 1h 24m

📋 Topics: Probability, Machine Learning

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📱Machine Learning Foundations: Probability

📦 Exercise Files

🤝 Top 5 ML algorithms for regression problems

🔅 Develop ML Models with Python and T-SQL

📝 Learn how to leverage Python to effectively build, train, test, and store your models in SQL Server databases.

🌐 Author: Sam Nasr
🔰 Level: Advanced
⏰ Duration: 39m

📋 Topics: Machine Learning, Microsoft SQL Server, Transact-SQL

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📱Develop ML Models with Python and T-SQL

🔅 Applied Machine Learning: Ensemble Learning

📝 Learn to use ensemble techniques like bagging, boosting, and stacking to improve your machine learning models.

🌐 Author: Matt Harrison
🔰 Level: Intermediate
⏰ Duration: 1h 28m

📋 Topics: Applied Machine Learning

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📱Machine Learning
📱Applied Machine Learning: Ensemble Learning