Alexandria, Stanley

Kamarayet Roushdy Towers, Corniche Road, Alexandria, egypt, 21523

Alexandria, Kamarayet Roushdy

1st Floor, Kamarayet Roushdy Building, Kamarayet Roushdy Towers, in front of San Giovani Hotel, Alexandria Corniche Road, Alexandria

Overlooking the Mediterranean at Egypt’s largest seaport, our Alexandria Kamarayet Roushdy office space is a prestigious place to do business. It’s a location surrounded by restaurants and hotels, with outstanding road access and commuter rail connections from the city centre.

The building is one of Alexandria’s architectural landmarks, with on-site retailers and banks to save you time. And, when you want to explore the city’s diverse business community, companies from shipping, banking and industry are all just a short walk away.

Subcategories (2)

Random Forest

Random Forest
AdaBoost

AdaBoost

Explore Our Courses

LightGBM for Machine Learning

 21 Hours
This instructor-led, live training in Alexandria (online or onsite) is aimed at beginner to intermediate-level developers and data scientists who wish to learn the basics of LightGBM and explore advanced techniques. By the end of this training, participants will be able to:
  • Install and configure LightGBM.
  • Understand the theory behind gradient boosting and decision tree algorithms
  • Use LightGBM for basic and advanced machine learning tasks.
  • Implement advanced techniques such as feature engineering, hyperparameter tuning, and model interpretation.
  • Integrate LightGBM with other machine learning frameworks.
  • Troubleshoot common issues in LightGBM.
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AdaBoost Python for Machine Learning

 14 Hours
This instructor-led, live training in Alexandria (online or onsite) is aimed at data scientists and software engineers who wish to use AdaBoost to build boosting algorithms for machine learning with Python. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start building machine learning models with AdaBoost.
  • Understand the ensemble learning approach and how to implement adaptive boosting.
  • Learn how to build AdaBoost models to boost machine learning algorithms in Python.
  • Use hyperparameter tuning to increase the accuracy and performance of AdaBoost models.
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Machine Learning with Random Forest

 14 Hours
This instructor-led, live training in Alexandria (online or onsite) is aimed at data scientists and software engineers who wish to use Random Forest to build machine learning algorithms for large datasets. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start building machine learning models with Random forest.
  • Understand the advantages of Random Forest and how to implement it to resolve classification and regression problems.
  • Learn how to handle large datasets and interpret multiple decision trees in Random Forest.
  • Evaluate and optimize machine learning model performance by tuning the hyperparameters.
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Upcoming Courses

LightGBM for Machine Learning

2025-06-09 09:30
21 hours
Alexandria, Stanley
4,365 USD (Online)
5,115 USD (Classroom)

LightGBM for Machine Learning

2025-06-23 09:30
21 hours
Alexandria, Stanley
4,365 USD (Online)
5,115 USD (Classroom)

AdaBoost Python for Machine Learning

2025-07-07 09:30
14 hours
Alexandria, Stanley
2,910 USD (Online)
3,410 USD (Classroom)

AdaBoost Python for Machine Learning

2025-07-21 09:30
14 hours
Alexandria, Stanley
2,910 USD (Online)
3,410 USD (Classroom)

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