This course first equips you with the fundamentals of Python and then progresses to teach you how to use various libraries such as NumPy, Pandas, Seaborn, Bokeh, and so on. This course contains several mini projects so that, by the end of this course, you will be equipped with the essential tools you need to become a visualization expert.
Learn how to code with Python. Work on a small real-life project from conception to tested app, in a team or on your own.
Welcome to a project-based intermediate course. This course is designed to learn how to create new and exciting projects using various python modules. In each section, we will build a project and with each project, you will learn how to create an online multiplayer game, AOL-style chat room, and more!
Python for Data Science and Machine Learning Bootcamp online course is suitable for anyone interested in learning Python for data science and machine learning. It is especially ideal for aspiring data scientists and professionals seeking to enhance their data analysis skills.
In this course, you will learn full-stack web development with React JS for the frontend and Python Django for the backend. You will learn and explore various databases such as Microsoft SQL Server, MySQL, MongoDB, PostgreSQL, and SQLite.
This course is designed around three main activities for getting better results with deep learning models: better or faster learning, better generalization to new data, and better predictions when using final models. Take this course if you're passionate about deep learning with a solid foundation in this space and want to learn how to squeeze the best performance out of your deep learning models.
This course starts with the basics of Recurrent Neural Networks (RNNs) with Python and then teaches you how to build them by taking you through various exercises and projects. You will be able to test your skills by completing two exciting projects: creating an automatic book writer and a stock price prediction application.