I attended and completed the Machine Learning and Data Science course in Python as a starting point for an in-depth study of AI, data science and data visualization technologies.
The knowledge of these disciplines is becoming more and more relevant, so I felt it was very important to carry on the study of technologies and paradigms that could become the future of the market and business, combining the attendance of this course and the practical implementations of what has been learned with research and studies carried out on Linear algebra, always taking advance of the powerful libraries made available by Python.
In this course, in addition to the knowledge of the concepts and techniques related to learning models, dataset processing and optimization, data visualization and the fundamental concepts of deep learning, I was able to deepen my knowledge of the scikitlearn, numpy and matplotlib Python libraries.
