Python is hot!!! Youtube, Dropbox, Quora, Eventbrite and many other famous Internet companies are built on python. Data Scientists and Analysts love to use python for data analysis and machine learning, data engineers like to use python for scripting and DevOps, big data expersts use python to handle data at scale and build data pipelines, and developers use python to build web applciations.
Topics covered in this info session:
In this course, students will work on real problems in classification and regression with supervised and unsupervised learning approaches. Students will explore sophisticated model evaluation approaches (cross-validation and bootstrapping) to make the models as generalizable as possible.View Details
This course is part of the skill-based data science track course series and is intended for learners who have basic python or programming background, and want to apply statistics, machine learning, information visualization, recommender system, and natural language processing techniques to gain new insight into data. Only basic statistics background is expected, and the first course contains a refresh of these basic concepts. Learners with a formal training in Computer Science but without formal training in data science will still find the skills they acquire in this course valuable in their studies and careers.View Details