The purpose of this course is to teach you how to use Python for machine learning to create real-world algorithms. You will gain an in-depth understanding of the fundamentals of deep learning. This course will help you explore different frameworks in Python to solve real-world problems using the core concepts of deep learning and artificial intelligence.
This course takes you through all the important topics of data structure and algorithms from scratch. You will learn how to solve real-world problems with linked lists, stacks, queues, sorting algorithms, and a lot more using Python.
This course will show you how to create simple, intermediate, and advanced REST APIs for authentication, deployment, caching, and much more. You will also cover essential technologies such as Flask and popular extensions such as Flask-Smorest, Flask-JWT-Extended, and Flask-SQLAlchemy; we will dive right into developing complete, solid, production-ready REST APIs.
In this comprehensive course, you will learn everything you need to know about SQL and Microsoft SQL Server, from the basic to advanced topics. With easy-to-follow lessons and hands-on exercises, you will gain the skills and confidence to work with databases like a pro. Perfect for beginners and anyone looking to expand their data management skills.
Welcome to the data manipulation in Python course. Our goal in this course is to provide you with all the tools and skills necessary to master Python, NumPy, and Pandas for data science. No previous skills or expertise are required. Only a drive to succeed!
This course is an excellent resource to learn network programming using Python. With the help of practical examples, you will learn how to automate networks with Telnet, Secure Shell (SSH), Paramiko, Netmiko, and Network Automation and Programmability Abstraction Layer with Multivendor support (NAPALM).