MASTERING MACHINE LEARNING: BUILDING SMARTER MODELS
Case Study

Machine learning is revolutionizing how organizations leverage data to make intelligent, automated decisions. This 1-day intensive course offers a comprehensive introduction to machine learning concepts, techniques, and workflows. Participants will gain hands-on experience building, training, and evaluating predictive models using popular tools and libraries. The course emphasizes practical understanding, helping learners select the right algorithms, preprocess data effectively, and optimize models to improve performance. Perfect for beginners and those with some data background looking to deepen their machine learning skills.

• Understand fundamental machine learning concepts and types of learning (supervised, unsupervised).
• Prepare datasets for machine learning including cleaning, feature selection, and scaling.
• Build and evaluate common machine learning models such as decision trees, logistic regression, and k-NN.
• Use performance metrics to assess model accuracy and avoid overfitting.
• Apply best practices for tuning and improving machine learning models

Session 2: Data Preparation and Feature Engineering (10:45 AM – 12:15 PM)

Session 3: Building Machine Learning Models (1:15 PM – 2:45 PM)

Session 4: Model Evaluation and Improvement (3:00 PM – 4:15 PM)

Session 5: Practical Applications and Next Steps (4:15 PM – 5:00 PM)

Session 2: Data Preparation and Feature Engineering (10:45 AM – 12:15 PM)

Session 3: Building Machine Learning Models (1:15 PM – 2:45 PM)

Session 4: Model Evaluation and Improvement (3:00 PM – 4:15 PM)

Session 5: Practical Applications and Next Steps (4:15 PM – 5:00 PM