Create a real-world backend for a Bootcamp directory app
This course covers the fundamental topics of statistical methodology, linear regression, and ordinary least squares that every statistician needs to know.
Get hands-on with specialized tools to scan, attack, and decompile code.
Clean code in small steps and explore emerging design patterns such as Interpreter, Fluent Builder, Factory Methods
This video course gives you an insight into applied data science concepts using Python. With the help of interesting activities and hands-on coding exercises, you'll learn about data science, extended data analysis, linear and logistic regression, data visualization, k-means clustering, and decision trees.
This video course will teach you how devices connect, work, and communicate across a network. Throughout the course, you will learn how to set up your own virtual network, understand various networking concepts, and write powerful Bash scripts.
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.