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This online course teaches deriving and implementing word2vec, GLoVe, word embeddings, and sentiment analysis with recursive nets.

This online course teaches GRU, LSTM, and more modern deep learning, machine learning, and data science skills. Most of the work will be done in Numpy, Matplotlib, and Theano.

This course will introduce the learner to text mining and text manipulation basics.

This online course gives an introduction to test-driven software development, including the core concepts and the types of testing. Some prior knowledge of the Python...

This online course series explores the fundamentals of data structures and algorithms with a focus on data science applications. It is designed for learners who are interested...

This online course shows how to build deep learning agents with neural networks.

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods.

This two-part course is designed to be a fun introduction to the basics of programming in Python. The main focus will be on building simple interactive games such as Pong,...

This course will show how one can treat the Internet as a source of data. Students will scrape, parse, and read web data as well as access data using web APIs and will work with...

This course will introduce the learner to network modelling through the networkx toolset. Used to model knowledge graphs and physical and virtual networks, the lens will be...

This online course shows how to solve partial differential equations with numerical methods and Python. The methods shown in this course are used in engineering, natural...

This online course bridges accountancy to analytics. It is designed to help accounting students develop an analytical mindset and prepare them to use tools and programming...

This online course series explores how to make accurate predictions with data-driven systems and deploy machine learning models using the Python programming language.

This online course teaches how to to create machine learning algorithms in Python and R.

This online course bridges the gap between introductory and advanced courses in Python. It includes:Python 3 programming basics (a review)Python tools (e.g., NumPy and SciPy...

In this course, students will go beyond basic data analysis tools to develop multiple linear regression and logistic regression models to address their research question more...

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the...

The course will teach students how to use computation to accomplish a variety of goals and provides you with a brief introduction to a variety of topics in computational problem...

After this course students will have a solid understanding about systematic debugging, will know how to automate debugging and will have built several functional debugging tools...

This online course provides a series of Python programming exercises intended to explore the use of numerical modeling in climate sciences. The scientific background for these...