Diploma in Data: The Complete ML Journey

The “Diploma in Data: The Complete ML Journey” is a unique program that enriches  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.