In this course, you will learn Python fundamentals, and the concepts of the amazing pandas data science library needed to pre-process and prepare the data for machine learning algorithms.
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 why Hadoop is one of the best tools to work with big data. With the help of some real-world data sets, you will learn how to use Hadoop and its distributed technologies, such as Spark, Flink, Pig, and Flume, to store, analyze, and scale big data.
This is an intermediate to advanced ASP.NET Core (.NET 6) course that will take you from the basics to the advanced mode. This course is for anyone who has a basic understanding of ASP.NET Core and wants to learn how to architect and build real-world ASP.NET Core apps.
Get started with Neural networks and understand the underlying concepts of Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks. This hands-on course will help you understand deep learning in detail with no prior coding or programming experience required.
This complete hands-on, step-by-step course targets the latest version of Raspberry Pi, which is the Raspberry Pi 4. Everything also works perfectly for Raspberry Pi 2 and 3 versions. You don't need any knowledge in programming, electronics, or anything else. All you need is a working computer and a Raspberry Pi board to get started.
ASP.NET Web API is one of the hot topics in the ASP.NET world. The usage of web API is taking the world by storm. Companies such as Netflix, Spotify, Tesla, and Amazon use APIs to connect front-end and back-end functionality on a large scale. You will be learning these RESTful Web API concepts from scratch in this course.
This course will show you how to build Python-based web applications using Flask. You will cover the basics of the Flask framework and learn how to add functionality to your Flask applications using the popular extensions.
In this self-paced course, you will learn how to use TensorFlow 2 to build recurrent neural networks (RNNs). You will learn about sequence data, forecasting, Elman Unit, GRU, and LSTM. You will also learn how to work with image classification and how to get stock return predictions using LSTMs. We will also cover Natural Language Processing (NLP) and learn about text preprocessing and classification.
Using Blueprints in UE5, you can learn game development without coding. This beginner-friendly course will teach you how to use Unreal Engine's visual coding system. There is no prior experience required, and each lesson will gradually increase your knowledge.