Once you have completed this Artificial Intelligence Program you will be able to understand the meaning, purpose, scope, stages, applications and effects of Artificial Intelligence. You will be able to design and build your own intelligent agents, applying them to create practical Artificial Intelligence projects, including games, machine learning models, logic constraint satisfaction problems, knowledge-based systems, probabilistic models, and agent decision-making functions. You will master the essential concepts of Python programming, including data types, tuples, lists, dicts, basic operators, and functions. You will learn how to write your own Python scripts and perform basic hands on data analysis using Jupyter notebook as well as gain an in-depth understanding of Data Science processes: data wrangling, data exploration, data visualization, hypothesis building, and testing. You will learn to perform high-level mathematical and technical computing using the NumPy and SciPy packages and data analysis with the Pandas package and master the concepts of supervised and unsupervised learning models, including linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline, recommendation engine, and time series modelling.
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