Machine Learning

About this course

Ready to turn data into smarter decisions? This advanced Machine Learning course is designed for learners with basic Python skills and experience with predictive tools who want to build practical machine learning expertise and move toward roles in business analytics, data engineering, or data science. You’ll learn how to frame real-world business problems as machine learning tasks and build, evaluate, and improve models using Python. Start with essential data science tools—including NumPy, pandas, and Matplotlib—then progress through classification, regression, clustering, and model evaluation with scikit-learn. Go beyond traditional machine learning with hands-on neural networks and deep learning using TensorFlow. Explore regression and classification, hyperparameter tuning, overfitting, sentiment analysis, natural language processing (NLP), word embeddings, convolutional neural networks (CNNs), and image classification. By the end, you’ll be equipped to apply machine learning algorithms to structured and unstructured data, interpret datasets, and draw meaningful management insights. Build the practical Python, machine learning, and deep learning skills you need to tackle data-driven business challenges and advance your career in data science.

Course objectives

• Introduce foundational tools for data manipulation and analysis
• Teach supervised learning techniques in a hands-on manner
• Develop skills for working with both structured and unstructured data