The course will help you understand machine learning fundamentals by diving into theoretical concepts and algorithms of machine learning.

Learn the key concepts of machine learning and implement algorithms in Python for practical applications.

This course covers RAG basics, architecture, and applications and teaches you to build RAG pipelines using LangChain and Streamlit.

In this course, the learner will learn some very interesting and useful endpoints of the Dropbox API.

Learn how to retrieve and analyze financial data using the YH Finance API in Python for effective stock market analysis.

This course helps you learn how to fetch soccer (football) data using API Football in Python and integrate it into your applications.

This course covers Google BERT including its architecture, pre-training and variants like M-BERT, VideoBERT, ALBERT, RoBERTa, ELECTRA, and SpanBERT.

This is a beginner-friendly course where you’ll learn Gemini fundamentals, use Gemini effectively, and build your first Gemini applications.

Beginner's guide to implement efficient and high-performing code for image classification project using Pytorch and Python programming language.

This course will teach you how to make your Python programs faster, more efficient, and responsive. You will learn how and when to use the threading, multi-processing, concurrent.futures, and asyncio modules.

Learn how to use the Reddit API and its Python wrapper to integrate it within your applications.

In this course, the learner will get a hands-on experience with Vimeo APIs, learn about different endpoints, and can execute the codes right away.