Description:

Join our intensive 5-day Machine Learning Bootcamp designed to equip you with the essential skills and knowledge to excel in the field of data science. Starting with an introduction to Python and foundational statistical methods, you’ll learn to visualize and analyze data effectively. We’ll then delve into the core principles of machine learning, covering both theoretical concepts and practical applications. You’ll explore key algorithms, including PCA, k-Nearest Neighbors, linear regression, decision trees, and ensemble methods like random forests. By the end of the bootcamp, you’ll have a solid understanding of how to formulate and solve real-world problems using advanced machine learning techniques. This bootcamp is perfect for anyone looking to deepen their expertise in data science and machine learning.

Duration:  5 Days

Course Code: BDT347

Learning Objectives

• Gain a solid foundation in Python programming and its applications in data science
• Develop skills to perform EDA to uncover patterns and insights from data.
• Comprehend the significance of machine learning, formulate machine learning problems, and explore supervised and unsupervised learning.
• Learn and apply essential machine learning algorithms such as PCA, KNN, linear regression, decision trees, ensemble methods (like Random Forests), SVM, logistic regression, and Naive Bayes.
• Understand the concepts of generalization and overfitting, and master the use of training, validation, and testing datasets to develop robust machine learning models.