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Machine Learning & AI Introduction (RXM402)
Curriculum
1 Section
4 Lessons
1 Day
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Topics
4
1.1
Module 1: AI/Machine Learning Overview and Data Processing Lab: Setting up a Machine Learning Environment and Processing Data with NumPy and Pandas
1.2
Module 2: Data Visualization Lab: Visualizing Data with Seaborn and Matplotlib
1.3
Module 3: Machine Learning Models Lab: Building Models with scikit-learn
1.4
Module 4: Hyperparameter Tuning Labs: Hyperparmeter Tuning with Optuna
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