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 comprehensive course will help you learn how to use the power of Python to evaluate your deep learning-based recommender system data sets based on user ratings and choices with a practical approach to building a deep learning-based recommender system by adopting a retrieval-based approach based on a two-tower model.
You will be learning from the basics of a Composable function to how to handle state in Compose and how to build full-fledged Android apps that leverage the full power of Jetpack Compose and Kotlin. This course is tailored for beginners and advanced developers.