This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.
This course is a mix of theory and coding to give you experience in building Kafka applications using AVRO and Schema Registry. You will code and build a coffee order service using Spring Boot and Schema Registry. Anyone interested in learning about Schema Registry and how to build Kafka Producer and Consumer applications that interact with Schema Registry can take up the 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.
This course is structured to give you both the theoretical and coding experience of developing Kafka Streams applications using Streams API. It also covers the techniques to use Enterprise Standard Kafka Streams application using Spring Boot and Streams API. You will build a real-time Kafka Streams application by the end of this course. Prior experience building Kafka applications is necessary.