Python
Showing 301–312 of 314 results
Understanding Deep Learning Applications in Rare Event Prediction
This course teaches how to build deep learning models using TensorFlow to predict rare probability events.
Unleash the Power of Large Language Models Using LangChain
The course covers basics of LLMs and Langchain, utilizing prompt templates, different types of chains, and leveraging Langchain for LLM application development.
Unleashing the Power of AI with OpenAI’s GPT-3
Explore the capabilities of OpenAI's GPT-3 and learn how to harness its power to build AI applications.
Using GeoPandas for Geospatial Analysis in Python
Analyze geospatial data and perform geographic operations using GeoPandas, a Python library.
Using OpenAI API for Natural Language Processing in Python
This course covers various endpoints of the Open AI API with GPT and how it can accomplish NLP tasks such as text completion, summarization, and classification.
Using Python Altair for Data Storytelling
Gain the skills to transform data into stories, using the DIKW pyramid and the Altair Python library.
Using Python and Transcrypt to Build a Complete Web Application
Build full-stack web applications using Python and Transcrypt, a tool for transpiling Python code into JavaScript.
Using Python for Reading and Writing Optical Labels
Learn how to use Python for reading and writing optical labels, focusing on barcode and QR code generation.
Using PyTorch for Image Classification and Object Detection
This course demystifies convolutional neural network architectures using PyTorch for image classification and object detection.
Using the Python Transcrypt Transpiler for Front-end Coding
Learn how to use Transcrypt to transpile Python code to JavaScript for front-end development.
Vector Databases for Large Language Models (LLMs)
Explore large language models (LLMs) and vector databases, including ANN search, similarity methods, and practical skills using BERT and ChromaDB embeddings.
Vector Databases: From Embeddings to Applications
This course will teach you how to generate embeddings and use vector databases for semantic search apps, recommendations, and multimodal solutions.