What you'll learn:
- Diploma Definition
- Linear Algebra for ML
- Data Exploration & Preparation
- Probability & Statistics
- NumPy Library
- Pandas Library
- Visualization Libraries (matplotlib, seaborn)
- Intro to Machine Learning concepts
- Numerical optimization
- Linear & Polynomial Regression
- End to End ML project
- Regularization
- Kaggle platform
- Classification (binary, multiclass, metrics)
- K-Nearest Neighbors
- Niave Bayes
- Logistic Regression
- Support Vector Machines
- Decision Trees
- Ensemble Learning (bagging, boosting)
- Hyperparameters Tuning
The "Machine Learning and Data Science Diploma using Python" is a unique program that enriches Arabic content in the field of artificial intelligence. It's a comprehensive training course centered on interaction, practical application, thorough explanation, and detailed algorithms starting from scratch. The course ensures a robust understanding of algorithms leading to practical implementation, aiding in building strong models applicable to real-life scenarios. It caters to beginners and anyone intrigued by data science, its analysis, and the study of machine learning and artificial intelligence, including Data Analysts, Data Scientists, Machine Learning Engineers, and AI
Engineers
This diploma not only equips you with the proficiency to learn machine learning and data science through coding but also ensures a solid grasp of the mathematics behind the algorithms. This understanding is essential for fine-tuning algorithmic parameters effectively.
Topics covered in this diploma include:
Definition of Diploma
Linear Algebra for Machine Learning
Data Exploration and Preparation
Probability and Statistics for Data Science
NumPy Library
Pandas Library
Visualization Libraries (matplotlib, seaborn)
Introduction to Machine Learning Concepts
Numerical Optimization
Regression with Different Methods
End-to-End Machine Learning Projects
Regularization
Kaggle Platform
Classification (Binary, Multiclass, different metrics)
K-Nearest Neighbors
Naive Bayes
Logistic Regression
Support Vector Machines
Decision Trees
Ensemble Learning (Voting, Bagging, Boosting)
Hyperparameters Tuning
Practical Projects
What Comes Next?
Whether you're deeply passionate about AI, a dedicated developer, or a budding data scientist, this course is designed to equip you with the essential knowledge and hands-on skills required to thrive in data analysis and machine learning using Python, while delving into the intricate aspects of theory.
Join us at this moment and begin an immersive learning expedition that will steer you toward mastering machine learning, enabling you to spearhead cutting-edge AI ventures.
Enroll today to kickstart your journey!
